optimal dynamic pricing of inventories with stochastic demand over finite horizons in many industries managers face the problem of selling a given stock of items by a deadline we investigate the problem of dynamically pricing such inventories when demand is price sensitive and stochastic and the firm s objective is to maximize expected revenues examples that fit this framework include retailers selling fashion and seasonal goods and the travel and leisure industry which markets space such as seats on airline flights cabins on vacation cruises and rooms in hotels that become worthless if not sold by a specific time we formulate this problem using intensity control and obtain structural monotonicity results for the optimal intensity resp price as a function of the stock level and the length of the horizon for a particular exponential family of demand functions we find the optimal pricing policy in closed form for general demand functions we find an upper bound on the expected revenue based on analyzing the deterministic version of the problem and use this bound to prove that simple fixed price policies are asymptotically optimal as the volume of expected sales tends to infinity finally we extend our results to the case where demand is compound poisson only a finite number of prices is allowed the demand rate is time varying holding costs are incurred and cash flows are discounted the initial stock is a decision variable and reordering overbooking and random cancellations are allowed

optimal dynamic pricing of perishable products with stochastic demand and a finite set of prices abstract consider a continuous time inventory problem in which a retailer sets the price on a fixed number of a perishable asset that must be sold prior to the time at which it perishes the retailer can dynamically adjust the price between any of a finite number of allowable prices demand for the product is poisson with an intensity that is inversely related to the price the optimal policy is piecewise constant the maximum expected revenue is nondecreasing and concave in both the remaining inventory and the time to go for a given inventory level the optimal price declines as the time at which the products perish approaches at any given time the optimal price is nonincreasing in the number of items remaining unsold these results are extended to i the case in which the prices and corresponding demand intensities depend on the time to go and ii the case in which the retailer can restock to meet demand at a unit cost after the initial inventory has been sold

explaining fashion cycles imitators chasing innovators in product space abstract this paper considers the problem of a fashion trend setter confronting an imitator who can produce the same product at lower cost a one dimensional product space is considered which is an abstraction of the key attribute of some consumer good three broad strategies can be optimal for the fashion leader 1 never innovate which milk profits from the initially advantageous position but ultimately concede the market without a fight 2 innovate once but only once which just temporarily defers conceding the market 3 cycle infinitely around product space never letting the imitator catch up and capture the market sometimes the cycles start immediately sometimes the innovator should wait for a time before beginning the cycles the optimal solution exhibits strong state dependency with so called skiba curves separating regions in state space where various of these strategies are optimal there are even instances of intersecting skiba curves in most cases analytical expressions can be stated that characterize these skiba curves

dynamic capacity management with substitution we examine a multiperiod capacity allocation model with upgrading there are multiple product types corresponding to multiple classes of demand and the firm purchases capacity of each product before the first period within each period after demand arrives products are allocated to customers customers who arrive to find that their product has been depleted can be upgraded by at most one level we show that the optimal allocation policy is a simple two step algorithm first use any available capacity to satisfy same class demand and then upgrade customers until capacity reaches a protection limit so that in the second step the higher level capacity is rationed we show that these results hold both when all capacity is salvaged at the end of the last demand period as well as when capacity can be replenished in the latter case an order up to policy is optimal for replenishment although finding the optimal protection limits is computationally intensive we describe bounds for the optimal protection limits that take little effort to compute and can be used to effectively solve large problems using these heuristics we examine numerically the relative value of strictly optimal capacity and dynamic rationing the value of perfect demand information and the impact of demand and economic parameters on the value of optimal substitution

exploring income inequality in rural coastal viet nam income inequality has been rising in parallel with the economic liberalisation process in the former centrally planned economies the opportunities for non agricultural income associated with the market liberalisation process in former centrally planned economies would seem to be important in determining inequality within the rural sector this article reviews the trends in inequality in viet nam examining differential trends and hypothesised causes inequality is important because of its relationship to other factors in the evolution of the agricultural economy such as the incidence of poverty and the sustainability of emerging income sources this article analyses income inequality based on data collected by the author in two districts in coastal northern viet nam the results demonstrate that non agricultural income sources specifically aquaculture and wage and remittance contribute more to present inequality than any other income source simulation shows that the emergence of aquaculture since the l

multiperiod airline overbooking with a single fare class consider a multiperiod airline overbooking problem that relates to a single leg flight and a single service class passengers may cancel their reservations at any time including being no shows at flight time at that time the airline bumps passengers in excess of flight capacity and pays a penalty for so doing we give conditions on the fares refunds and distributions of passenger demand for reservations and cancellations in each period and on the bumping penalty function that ensure that a booking limit policy is optimal i e in each period the airline accepts reservation requests up to a booking limit if the number of initial reservations is less than that booking limit and declines reservation requests otherwise the optimal booking limits are easily computed we give conditions under which the optimal booking limits are monotone in the time to flight departure the model is applied to the discount allocation problem in which lower fare classes book prior to higher fare classes

immigration and economic resilience in the great recession the 2007 2009 financial crisis has caused economic disruption in many us cities and has drawn considerable academic attention despite abundant evidence of immigrants economic and social value to

an analysis of bid price controls for network revenue management bid prices are becoming an increasingly popular method for controlling the sale of inventoryin revenue management applications in this form of control threshold or bid prices are set for the resources or units of inventory seats on flight legs hotel rooms on specific dates etc and a product a seat in a fare class on an itinerary or room for a sequence of dates is sold only if the offered fare exceeds the sum of the threshold prices of all the resources needed to supply the product this approach is appealing on intuitive and practical grounds but the theory underlying it is not well developed moreover the extent to which bid price controls represent optimal or near optimal policies is not well understood using a general model of the demand process we show that bid price control is not optimal in general and analyze why bid price schemes can fail to produce correct accept deny decisions however we prove that when leg capacities and sales volumes are large bid price controls are asymptotically optimal provided the right bid prices are used we also provide analytical upper bounds on the optimal revenue in addition we analyze properties of the asymptotically optimal bid prices for example we show they are constant over time even when demand is nonstationary and that they may not be unique

mathematical programming for network revenue management revisited mathematical programming models for airline seat inventory control provide booking limits and bid prices for all itineraries and fare classes e l williamson airline network seat inventory control methodologies and revenue impacts ph d thesis massachusetts institute of technology cambridge ma 1992 finds that simple deterministic approximation methods based on average demand often outperform more advanced probabilistic heuristics we argue that this phenomenon is due to a booking process that includes nesting of the fare classes which is ignored in the modeling phase the differences in the performance between these approximations are studied using a stochastic programming model that includes the deterministic model as a special case our study carefully examines the trade off between computation time and the aggregation level of demand uncertainty with examples of a multi leg flight and a single hub network

coordinating clearance markdown sales of seasonal products in retail chains in this paper we propose a methodology to set prices of perishable items in the context of a retail chain with coordinated prices among its stores and compare its performance with actual practice in a real case study we formulate a stochastic dynamic programming problem and develop heuristic solutions that approximate optimal solutions satisfactorily to compare this methodology with current practices in the industry we conducted two sets of experiments using the expertise of a product manager of a large retail company in chile in the first case we contrast the performance of the proposed methodology with the revenues obtained during the 1995 autumn winter season in the second case we compare it with the performance of the experienced product manager in a simulation game setting in both cases our methodology provides significantly better results than those obtained by current practices

mickey mouse numbers and inequality research in developing countries the usage of unreliable statistics is common in development economics particularly in research on income distributional issues it is widely believed for example that the distribution of income in taiwan equalised dramatically between the early 1950s and about 1980 under close examination it is clear much of the evidence advanced is flawed the treatment of data by a number of analysts is puzzling and links between export orientation and inequality trends are flimsy it is argued that economists should be far more concerned about data problems in their research

systematic peak load pricing congestion premia and demand diverting empirical evidence abstract this paper finds empirical support to systematic peak load pricing in airlines higher fares in ex ante known congested periods it estimates a congestion premia and supports the main empirical prediction in gale and holmes gale i holmes t 1993 advance purchase discounts and monopoly allocation of capacity american economic review 83 135 146 less discount seats on peak flights

effects of system parameters on the optimal cost and policy in a class of multidimensional queueing control problems we consider a class of markov decision processes frequently employed to model queueing and inventory control problems for these problems we explore how changes in different system input parameter

managing capacity in tightly constrained systems abstract many make to order firms face total expected demand in excess of available capacity this is particularly true in the short range for capital intensive firms such as those in the flow process industry firms making short life cycle products such as those in high fashion apparel industry and printing shops in such situations the manager is left with the difficult task of allocating the available capacity between competing classes of products and or customers at the same time the manager is faced with the challenge of achieving delivery dependability and speed in order to stay competitive in this paper i describe the problem contrast it with a class of problems known as perishable asset revenue management problems review recent literature that presents alternative approaches for managing capacity such as capacity rationing improved coordination mechanisms and subcontracting and discuss fruitful avenues for future research

the economic determinants of young people s household formation the paper derives predictions about the impact of the price of housing young adults income and parental income on the probability that a young adult in the united kingdom lives apart from his her parents it shows that the predicted effect of the price of housing is intimately related to the price elasticity of housing demand it uses longitudinal data on a cohort of britons born in 1958 surveyed in the national child development study to estimate dynamic models of first departure from the parental home and particularly to estimate the impact of housing price on the timing and destination of first departure excerpt

the response of latino immigrants to the great recession occupational and residential im mobility during the great recession in the us there were distinct housing and labour markets that were particularly hard hit this was primarily due to the fact that the housing industry had fueled much of the recent economic growth this article takes advantage of the shock to the construction industry to investigate the responses of latino immigrants in metropolitan areas that were most heavily concentrated with latino immigrants in the construction industry as expected there were large declines in the proportion of the latino immigrant population that was working in the construction industry during the recession there were some shifts of employment in the industry after the recession but the biggest change was in the number of unemployed while declines in construction jobs did predict moving out of a metropolitan area decline in the overall job market had a larger impact on mobility finally we find evidence that those who moved out of the metropolitan area were less likely to be employed although it i

a multiproduct dynamic pricing problem and its applications to network yield management a firm has inventories of a set of components that are used to produce a set of products there is a finite horizon over which the firm can sell its products demand for each product is a stochastic point process with an intensity that is a function of the vector of prices for the products and the time at which these prices are offered the problem is to price the finished products so as to maximize total expected revenue over the finite sales horizon an upper bound on the optimal expected revenue is established by analyzing a deterministic version of the problem the solution to the deterministic problem suggests two heuristics for the stochastic problem that are shown to be asymptotically optimal as the expected sales volume tends to infinity several applications of the model to network yield management are given numerical examples illustrate both the range of problems that can be modeled under this framework and the effectiveness of the proposed heuristics the results provide several fundamental insights into the performance of yield management systems

joint pricing procurement control under fluctuating raw material costs abstract we consider a firm that periodically procures raw material units stores them and processes them into finished products upon order arrivals the raw material cost evolves in a markovian fashion whereas the demand process is influenced by both the raw material cost and sales prices charged by the firm the firm controls both the raw material procurement activity and sales price in each period we show the optimality of base stock list price type of policies with the additional raw cost dependence under conditions that are verifiable when the firm engages in price competition with other firms tapping into the same raw material market and when the raw material cost process has time continuity and mean reversion tendencies we identify two monotone patterns in which policy parameters should follow as the raw material cost fluctuates cost increases are also shown to translate into price increases at low inventory levels in other circumstances however there does not appear to be a clear pattern as to how the firm should pass cost increases on to end customers our numerical evidence unequivocally supports the adaptation of procurement and pricing controls to changing raw material costs

will dynamic pricing outperform theoretical analysis and empirical evidence from o2o on demand food service market abstract this study attempts to identify the pricing strategy of three most commonly used on demand food service platforms in china based on detailed information of more than 240 000 orders and further evaluates the impact of pricing strategy on platform performance we find that some platforms adopt dynamic pricing strategies while other platforms adopt static pricing strategies considering the unique structure of the o2o on demand food service market in china we develop a dyadic two sided market theory and demonstrate that compared with static pricing strategies dynamic pricing strategies perform better consistent with our theory our empirical analysis also suggests that platforms adopting dynamic pricing strategies have a significantly higher level of demand compared with platforms adopting static strategies in addition our results indicate the importance of delivery speed red envelopes and ratings in promoting demand

optimal dynamic auctions for revenue management we analyze a dynamic auction in which a seller withc units to sell faces a sequence of buyers separated intot time periods each group of buyers has independent private values for a single unit buyers compete directly against each other within a period as in a traditional auction and indirectly with buyers in other periods through the opportunity cost of capacity assessed by the seller the number of buyers in each period as well as the individual buyers valuations are random the model is a variation of the traditional single leg multiperiod revenue management problem in which consumers act strategically and bid for units of a fixed capacity over time for this setting we prove that dynamic variants of the first price and second price auction mechanisms maximize the seller s expected revenue we also show explicitly how to compute and implement these optimal auctions the optimal auctions are then compared to a traditional revenue management mechanism in which list prices are used in each period together with capacity controls and to a simple auction heuristic that consists of allocating units to each period and running a sequence of standard multiunit auctions with fixed reserve prices in each period the traditional revenue management mechanism is proven to be optimal in the limiting cases when there is at most one buyer per period when capacity is not constraining and asymptotically when the number of buyers and the capacity increases the optimal auction significantly outperforms both suboptimal mechanisms when there are a moderate number of periods capacity is constrained and the total volume of sales is not too large the benefit also increases when variability in the dispersion in buyers valuations or in the number of buyers per period increases

revenue management for operations with urgent orders this article is motivated by the case of a company manufacturing industrial equipment that faces two types of demand on the one hand there are the so called regular orders for installations or refurbishing of existing facilities these orders have a relatively long lead time on the other hand there are urgent orders mostly related to spare parts when a facility has a breakdown the delay in such case is much shorter but higher margins can be obtained we study the order acceptance problem for a firm that serves two classes of demand over an infinite horizon the firm has to decide whether to accept a regular order or equivalently how much capacity to set aside for urgent orders in order to maximize its profit we formulate this problem as a multi dimensional markovian decision process mdp we propose a family of approximate formulations to reduce the dimension of the state space via aggregation we show how our approach can be used to compute bounds on the profit associated with the optimal order acceptance policy finally we show that the value of revenue management is commensurate with the operational flexibility of the firm

joint inventory allocation and pricing decisions for perishable products abstract we jointly determine the price and the inventory allocation for a perishable product with a predetermined lifetime we assume that the price of the product increases as the time when it perishes approaches as in the airline industry demand for the product is price sensitive to maximize the expected revenue we developed a discrete time dynamic programming model to obtain the optimal prices and the optimal inventory allocations for the product with a two period lifetime we then proposed three heuristics when the lifetime is longer than two periods the computational results showed that the expected revenues from the proposed heuristics were very close to that of the optimal solution we extended these results to i the case where the price for the product consistently decreases and ii the case where the price for the product first increases and later decreases

capacity management in rental businesses with two customer bases we consider the allocation of capacity in a system in which rental equipment is accessed by two classes of customers we formulate the problem as a continuous time analogue of the one shot allocation problems found in the more traditional literature on revenue management and we analyze a queueing control model that approximates its dynamics our investigation yields three sets of results first we use dynamic programming to characterize properties of optimal capacity allocation policies we identify conditions under which complete sharing in which both classes of customers have unlimited access to the rental fleet is optimal next we develop a computationally efficient aggregate threshold heuristic that is based on a fluid approximation of the original stochastic model we obtain closed form expressions for the heuristic s control parameters and show that the heuristic performs well in numerical experiments the closed form expressions also show that in the context of the fluid approximation revenues are concave and increasing in the fleet size finally we consider the effect of the ability to allocate capacity on optimal fleet size we show that the optimal fleet size under allocation policies may be lower the same as or higher than that under complete sharing as capacity costs increase allocation policies allow for larger relative fleet sizes numerical results show that even in cases in which dollar profits under complete sharing may be close to those under allocation policies the capacity reductions enabled by allocation schemes can help to lift profit margins significantly

revenue management with limited demand information in this paper we consider the classical multifare single resource leg problem in revenue management for the case where demand information is limited our approach employs a competitive analysis which guarantees a certain performance level under all possible demand scenarios the only information required about the demand for each fare class is lower and upper bounds we consider both competitive ratio and absolute regret performance criteria for both performance criteria we derive the best possible static policies which employ booking limits that remain constant throughout the booking horizon the optimal policies have the form of nested booking limits dynamic policies which employ booking limits that may be adjusted at any time based on the history of bookings are also obtained we provide extensive computational experiments and compare our methods to existing ones the results of the experiments demonstrate the effectiveness of these new robust methods

perishable asset revenue management with markovian time dependent demand intensities many industries face the problem of selling a fixed stock of items over a finite horizon these industries include airlines selling seats before planes depart hotels renting rooms before midnight theaters selling seats before curtain time and retailers selling seasonal items with long procurement lead times given a sunk investment in seats rooms or winter coats the objective for these industries is to maximize revenues in excess of salvage value when demand is price sensitive and stochastic pricing is an effective tool to maximize expected revenues in this paper we address the problem of deciding the optimal timing of price changes within a given menu of allowable possibly time dependent price paths each of which is associated with a general poisson process with markovian time dependent predictable intensities we show that a set of variational inequalities characterize the value functions and the optimal possibly random time changes in addition we develop an efficient algorithm to compute the optimal value functions and the optimal pricing policy

transformation of optimization problems in revenue management queueing system and supply chain management abstract for revenue optimization problems in the literature on revenue management supply chain management and queueing systems some assumptions such as concavity of revenue functions or increasing generalized failure rate are often needed to ensure the problems to be analytically tractable we show that these assumptions are not necessary for this we present and study a parametric revenue maximization problem to unify some problems in the literature without the usual assumptions we transform the problem into an equivalent one where the revenue function is increasing continuous and concave we then apply the transformation method to a continuous time revenue management problem and conclude that the monotone results are robust to demand function and allowable price set also we apply the transformation method to study a parametric cost minimization problem we further apply our method to two optimal control problems in queueing systems and an inventory control problem in a supply chain with price only contract

design and evaluation of a dynamic capacity apportionment procedure abstract deploying a decision theory based approach we develop a heuristic for short term constrained capacity allocation to multiple product classes in make to order manufacturing attempting to maximize profit by discriminating between product classes efficacy of the heuristic is evaluated by comparing its performance to a base case and an upper bound under a wide variety of operational conditions such as variations in profit attractiveness capacity tightness customer order size structure customer order rate structure and demand coefficient of variation considering three different scenarios of time variant order rate of products the results indicate that the heuristic is effective in obtaining increased profit when capacity is very tight and products are well differentiated on average it yields an increase of 9 38 in total profit with a concomitant decrease of 0 85 in capacity utilization the results of this study serve to highlight the value of proactively seeking to differentiate products particularly when demand exceeds capacity

revenue management under a general discrete choice model of consumer behavior customer choice behavior such as buy up and buy down is an important phenomenon in a wide range of revenue management contexts yet most revenue management methodologies ignore this phenomenon or at best approximate it in a heuristic way in this paper we provide an exact and quite general analysis of this problem specifically we analyze a single leg reserve management problem in which the buyers choice behavior is modeled explicitly the choice model is very general simply specifying the probability of purchase for each fare product as a function of the set of fare products offered the control problem is to decide which subset of fare products to offer at each point in time we show that the optimal policy for this problem has a quite simple form namely it consists of identifying an ordered family of efficient subsets s 1 s m and at each point in time opening one of these sets s k where the optimal index k is increasing in the remaining capacity x and decreasing in the remaining time that is the more capacity or less time available the further the optimal set is along this sequence we also show that the optimal policy is a nested allocation policy if and only if the sequence of efficient sets is nested that is s 1 s 2 s m moreover we give a characterization of when nesting by fare order is optimal we also develop an estimation procedure for this setting based on the expectation maximization em method that jointly estimates arrival rates and choice model parameters when no purchase outcomes are unobservable numerical results are given to illustrate both the model and estimation procedure

development and distribution a critique of the cross country u hypothesis abstract this paper questions the validity of a modern paradigm viz the u hypothesis it argues that notwithstanding contrary claims the recent cross country econometric studies by ahluwalia and others have little in common from a methodological point of view with kuznets earlier intertemporal national studies ahluwalia s cross country u curve is found to be based on defective statistics and questionable methodological premises in specific the estimation of one u curve from observations on both ldcs and dcs is criticised a sample restricted to the ldc group considerably weakens support for the u hypothesis further even marginal variations in the data set lead to the virtual disappearance of ahluwalia s empirical relationship the paper concludes that the cross country u hypothesis is more of a hindrance than an aid to our comprehension of the relationship between economic growth and income distribution

periodic pricing of seasonal products in retailing this paper studies intertemporal pricing policies when selling seasonal products in retail stores we first present a continuous time model where a seller faces a stochastic arrival of customers with different valuations of the product for this model we characterize the optimal pricing policies as functions of time and inventory we use this model as a benchmark against which we compare more realistic models that consider periodic pricing reviews we show that the structure of the optimal pricing policies in this case is consistent with the procedures observed in practice retail stores successively discount the product during the season and promote a liquidation sale at the end of the planning horizon we also show that the loss experienced when implementing periodic pricing reviews instead of continuous policies is small when the appropriate number of reviews is chosen several interesting economic insights emerge from our analysis for example uncertainty in the demand for new products leads to higher prices larger discounts and more unsold inventory finally we study the effect of announced discount policies on prices and profits we show that stores that have adopted this type of strategy usually set prices such that with high probability the merchandise is sold during the first periods and the largest discounts rarely take place

what happens to household formation in a recession abstract while many studies have investigated the determinants of housing demand very few studies have focused on how economic conditions affect the formation of potential households directly potential households may choose to delay entry into the housing market by remaining with one s parents during times of economic hardship or by combining with other persons to share housing costs using a variety of modeling approaches we find that both the increase in the unemployment rate and the presence of recessions reduce the rate of household formation simulations suggest that these declines are substantively important for example in a recession the likelihood that a young adult will form an independent household falls by 1 9 points depending on the age of the person by way of comparison if an individual is unemployed the likelihood of leaving the parental home is up to 11 points lower

a taxonomy and research overview of perishable asset revenue management yield management overbooking and pricing this paper proposes the term perishable asset revenue management to denote the field that combines the areas of yield management overbooking and pricing for perishable assets after summarizing the characteristics common to problems in this field the paper discusses the objectives and constraints faced by decision makers then it offers a comprehensive taxonomy with 14 different elements and reviews the research that has been done related to each element finally it suggests some important areas of future research that can help bridge the gap between theory and application

a field study of rental market discrimination across origins in france abstract discrimination against particular groups in the housing market increases search costs and limits optimal matching thus resulting in economic and social inefficiencies this paper tests for the existence of discrimination in the french rental market against individuals with names which signal their connection to five immigrant groups northern africa sub saharan africa turkey poland portugal spain by implementing an online field study using one of france s largest online advertisements website the results show that applicants with foreign sounding names coming from northern africa sub saharan africa and turkey are 16 to 22 percentage points less likely to receive a response than applicants with french names or names associated with poland portugal or spain in addition when applicants with foreign sounding names from any origin receive a response it is significantly more likely to be negative or include a request for more information than responses to emails including french sounding names finally we find some geographic differences in response rate differentials that are correlated with differences in the local income and share of immigrants this provides evidence that landlords use names as a proxy for economic and other sociodemographic characteristics

airline seat allocation with multiple nested fare classes this paper addresses the problem of determining optimal booking policies for multiple fare classes that share the same seating pool on one leg of an airline flight when seats are booked in a nested fashion and when lower fare classes book before higher ones we show that a fixed limit booking policy that maximizes expected revenue can be characterized by a simple set of conditions on the subdifferential of the expected revenue function these conditions are appropriate for either the discrete or continuous demand cases these conditions are further simplified to a set of conditions that relate the probability distributions of demand for the various fare classes to their respective fares the latter conditions are guaranteed to have a solution when the joint probability distribution of demand is continuous characterization of the problem as a series of monotone optimal stopping problems proves optimality of the fixed limit policy over all admissible policies a comparison is made of the optimal solutions

pricing and capacity sizing for systems with shared resources approximate solutions and scaling relations this paper considers pricing and capacity sizing decisions in a single class markovian model motivated by communication and information services the service provider is assumed to operate a finite set of processing resources that can beshared among users however this shared mode of operation results in a service rate degradation users in turn are sensitive to the delay implied by the potential degradation in service rate and to the usage fee charged for accessing the system we study the equilibrium behavior of such systems in the specific context of pricing and capacity sizing under revenue and social optimization objectives exact solutions to these problems can only be obtained via exhaustive simulations in contrast we pursueapproximate solutions that exploitlarge capacity asymptotics economic considerations and natural scaling relations demonstrate that the optimal operational mode for the system is close to heavy traffic this in turn supports the derivation of simple approximate solutions to economic optimization problems via asymptotic methods that completely alleviate the need for simulation these approximations seem to be extremely accurate the main insights that are gleaned in the analysis follow congestion costs are small the optimal price admits a two part decomposition and the joint capacity sizing and pricing problem decouples and admits simple analytical solutions that are asymptotically optimal all of the above phenomena are intimately related to statistical economies of scale that are an intrinsic part of these systems

why are hispanic and asian american homeownership rates so low immigration and other factors abstract the homeownership rates of hispanic and asian american households are significantly less than that of other demographic groups in the us especially after accounting for income and other characteristics this naturally leads to an investigation of the impact of immigration characteristics of various groups on the propensity for homeownership it is found that being an immigrant has a substantial negative effect on the probability of being a homeowner but that this effect dissipates over time the relative youth of these two groups in and of itself plays a significant role in lowering their homeownership rate as does the relatively high rate of residence in areas with high value rent ratios

price guarantees in dynamic pricing and revenue management we present a new model for revenue management of product sales that incorporates both dynamic pricing and a price guarantee the guarantee provides customers with compensation if prior to a fixed future date the price of the product drops below a level specified at the time of purchase we consider the problem of simultaneously determining optimal dynamic price and guarantee policies for items from a fixed stock when demand depends both on the price and on the parameters of the price guarantee the model can be used for pricing any items with limited availability over a fixed time horizon we formulate this model as a discrete time optimal control problem prove the existence of its optimal solution explore some of the structural properties of the solution present lower bounding heuristics for solving the problem and report numerical results

structural properties of markov modulated revenue management problems abstract the admission decision is one of the fundamental categories of demand management decisions in the dynamic model of the single resource capacity control problem the distribution of demand does not explicitly depend on external conditions however in reality demand may depend on the current external environment which represents the prevailing economic financial social or other factors that affect customer behavior we formulate a markov decision process mdp to maximize expected revenues over a finite horizon that explicitly models the current environment we derive some structural results of the optimal admission policy including the existence of an environment dependent thresholds and a comparison of threshold levels in different environments we also present some computational results which illustrate these structural properties finally we extend some of the results to a related dynamic pricing formulation

analysis of the changing influences on traditional households ownership patterns abstract sociological and economic forces have begun to alter ownership patterns in ways not yet captured by movements in the aggregate ownership rate while demographic factors such as marital status and family structure remain influential in determining tenure choice their impact has waned particularly among the best educated households and those with rising real incomes labor market conditions as evidenced by increasing returns to skill are more strongly felt than ever before in the housing market the impact on owning of being highly educated now rivals the influence of being married with minor children increasingly delayed ownership is a reality even for traditional family units with 36 to 45 year old heads that have not prospered in the labor market the rising real cost of even relatively inexpensive suburban housing is also beginning to be reflected in a heightened impact for real family income on tenure choice finally race currently is more adversely influential in determining suburban ownership for young middle aged minority families than it was in 1960 particularly if the household head is not well educated we suspect this is due to racially disparate impacts of increasingly rigorous zoning regulations and higher impact fees in the suburbs

the hotel yield management with two types of room prices overbooking and cancellations abstract we consider a problem for hotel room allocations with early discount cancellations and overbooking in our model customers can book a room in discounted price if they reserve before a certain deadline the model takes overbooking into account we have expressed the expected total sale function proved it is unimodal on the number of allocated rooms for early discount and for overbooking respectively under a condition and clarified the range where the optimal solution exists we have derived an optimal allocation for early discount in a specified model without cancellations and overbooking

economic development and income inequality further evidence on the u curve hypothesis abstract internationally comparable data on inequality and income are utilized to reassess the empirical status of kusnets u curve hypothesis the hypothesis seems well supported when both developed countries dcs and less developed countries lcds are included in the sample however the position changes rather dramatically if the sample is restricted to lcds and very small support for the hypothesis is then observed also a simple comparison indicates that some of the support reported in earlier studies may have been due to the use of conventional gross domestic product per capita in general results based on gini coefficient seem less favorable to the hypothesis than those derived from household income shares

should the kuznets effect be relied on to induce equalizing growth evidence from post 1950 development abstract the large body of cross sectional statistical research assessing 1 a kuznets inverted u for less developed countries ldcs 2 b a turning point is analyzed an alternative methodology is presented those countries which started in 1950 well below the turning point in rgdp and which reached an rgdp well above the turning point by 1980 are utilized as key cases income distribution data and assessments from individual country experts are combined with historical comparative microanalyses for each key case brazil costa rica greece japan malaysia south korea taiwan and turkey to construct patterns of income distribution during this crucial growth period it is demonstrated that the jury is still very much out on the kuznets inverted u for ldcs and the notion of a turning point should be rejected copyright 1997 elsevier science ltd

democracy economic development and income inequality most cross national tests of inverse association between democracy and inequality have operationalized the concept of democracy by measuring its level at a single point in time more compelling theoretical arguments can be made for causal relationships that operate over time between 1 a country s years of democratic experience and income inequality and 2 income inequality and the stability of democracy continuous and qualitative measures of years of democratic experience are estimated to have a significant negative impact on income inequality independent of economic development and other control variables for a sample of 55 countries a very strong inverse correlation is also observed between income inequality and regime stability for a sample of 33 democracies this association holds independent of economic development which is found to have no direct effect on democratic stability after controlling for income inequality

caught in the housing bubble immigrants housing outcomes in traditional gateways and newly emerging destinations research has documented that immigrants have moved in large numbers to almost every metropolitan area and select rural areas in the us in the midst of these demographic shifts the country has experienced a profound recession to date there has been little research on the impact of the recession on immigrants across the us using 2006 and 2009 american community survey microdata the paper assesses how the recent economic crisis has affected latino and asian immigrants with respect to two housing outcomes homeownership and headship over two important time points in the recent economic cycle immigrants have worse housing outcomes and significantly lower mobility rates after the recession regression results suggest that the negative impacts from the recession are strongest in the gateway metropolitan areas and that after controlling for residence in the hardest hit areas increases in metropolitan level unemployment and mortgage delinquency rates have a negative impact on homeownership rates the results also suggest that even though the recession has disrupted immigrants upward trajectory in the housing markets the effect has not been as severe on immigrants as one might expect in particular the places where immigrant populations are newest have not experienced as large a reduction in homeownership as those in the large immigrant gateways even in the established gateways the decline in homeownership has been smaller for immigrants than for us born households

robustness of capacity rationing policies a recent paper discusses a capacity rationing policy that allows make to order manufacturing firms encountering expected total demand in excess of available capacity to discriminate between two classes of products one yielding a higher profit contribution per unit of capacity allocated to it than the other the result is a selective rejection of orders for the class with lower unit contribution yielding an increase in total profit when compared to a base case that implements no capacity rationing implementation of the policy requires forecasts of demand parameters for both product classes in this paper we test the sensitivity of the capacity rationing policy to forecast errors in these parameters the results indicate that on average the rationing policy is quite robust in improving profit even when actual demands are approximately twenty percent different from forecast values

congestion based lead time quotation for heterogenous customers with convex concave delay costs optimality of a cost balancing policy based on convex hull functions we consider a congestible system serving multiple classes of customers who differ in their delay sensitivity and valuation of service or product customers are endowed with convex concave delay cost functions a system manager offers a menu of lead times and corresponding prices to arriving customers who then choose the lead time price pair that maximizes their net utility value minus disutility of delay and price we investigate how such menus should be chosen dynamically depending on the system backlog to maximize welfare we formulate a novel fluid model of the problem and show that the cost balancing policy based on the convex hulls of the delay cost functions is socially optimal if the system manager can tell customer types apart if types are indistinguishable to the system manager the cost balancing policy is also incentive compatible under social optimization finally we show through a simulation study that the cost balancing policy does well in the context of the original stochastic problem by testing it against various natural benchmarks

income inequality regime repressiveness and political violence death rate from political violence is postulated to vary cross nationally as a positively accelerated time lagged function of income inequality and as a nonmonotonic inverted u function of regime repressiveness the former hypothesis is consistent with approaches to the explanation of collective political violence that emphasize the general concept of discontent or more specifically relative deprivation the latter hypothesis is consistent with a political process version of the resource mobilization approach in the context of a multivariate model estimated across two decades 1958 67 and 1968 77 support is found for the inequality hypothesis support also is foundfor the regime repressiveness hypothesis in the decade 1968 77 for which the index of regime repressiveness is available the u curve effect of regime repressiveness appears to have stronger impact on variation in rates of deadly political violence than the positively accelerated effect of income inequality

capacity rationing decision procedures with order profit as a continuous random variable abstract when expected demand is more than available capacity a make to order manufacturer should take the more profitable orders and reject the less profitable orders in order to better allocate its limited capacity and maximize its profit however various orders will arrive at different times in the future so the manufacturer cannot look at all the order inquiries at the same time and choose the most profitable ones when an order inquiry arrives the manufacturer must promptly determine without knowing exactly what the future orders might be whether to accept the order or to reject the order thus reserving the capacity for future more profitable orders this study focuses on such an order selection decision problem under the following assumptions 1 the arrival of future customer orders is a poisson process 2 the capacity requirement of a future customer order is a continuous random variable and 3 the profit per unit capacity used by an order is also a continuous random variable under the stochastic problem assumptions this study investigates two decision procedures that determine whether to accept or to reject an order inquiry based on the available information including 1 current available manufacturing capacity 2 capacity requirement by the order and 3 the profit per unit capacity of the order one procedure is called static probability capacity rationing decision procedure spcr the other one is called dynamic stochastic capacity rationing decision procedure dscr simulation experiments are conducted to validate the proposed procedures an optimal solution method that uses 0 1 knapsack problem formulation to obtain the decisions with perfect information is used to measure the effectiveness of the proposed procedures the results show that the approach utilizing dscr outperforms other approaches by providing the highest profit and is also very robust under various problem conditions

large scale service marketplaces the role of the moderating firm recently large scale web based service marketplaces where many small service providers compete among themselves in catering to customers with diverse needs have emerged customers who frequent these marketplaces seek quick resolutions and thus are usually willing to trade prices with waiting times the main goal of this paper is to discuss the role of the moderating firm in facilitating information gathering operational efficiency and communication among agents in service marketplaces surprisingly we show that operational efficiency may be detrimental to the overall efficiency of the marketplace furthermore we establish that to reap the expected gains of operational efficiency the moderating firm may need to complement the operational efficiency by enabling communication among its agents the study emphasizes the scale of such marketplaces and the impact it has on the outcomes this paper was accepted by yossi aviv operations management

price discrimination on booking time abstract even if consumers are forward looking and free to choose when to purchase a firm can price discriminate on booking time if consumers learn their valuations at different times and consumers who learn later have higher valuations the model is related to our work on optimal screening with returns contracts akan ata and dana 1 but here we consider a simpler binary valuation distribution and consider more realistic consumer learning assumptions the main contribution is to show that the profitability of screening on time is robust to relaxing the assumption that consumers learn instantaneously in addition to analyzing a bad news model in which information arrives gradually we characterize a general bound on consumer optimism that guarantees that the instantaneous learning results are robust

profit management of car rental companies abstract a car rental company consists of a fleet of available rentable vehicles waiting to be rented and being rented we model the company as a family of birth death processes bdps in equilibrium with finite size indexed by the company utilization parameter this metric is the ratio of the primary birth and death rates in these bdps relying on the basic concepts of company information and company entropy i e mean information we promote a procedure for profit management of car rental companies the company entropy represents the company uncertainty i e risk moreover finding optimal values of company utilization and fleet size leads to a unique management of that uncertainty introducing the coefficient of proportionality of a company as ratio of the renting revenue per vehicle per day and costs per vehicle per day we obtain an expression for the mean profit per day of a company i e profit attained per day from the average number of simultaneously rented vehicles as a function of company utilization fleet size and coefficient thus the profit management procedure reduces to finding optimal values of these three metrics as the key profit drivers of the rental business moreover an expression for the minimal value of the coefficient is introduced as a function of the other two metrics determining the zero mean profit per day thereby the efficiency of the company s fleet is determined as a reciprocal of this minimal value the developed procedure is illustrated on a company which is represented by the erlang loss system

spatial housing economics a survey this introduction to the virtual special issue surveys the development of spatial housing economics from its roots in neoclassical theory through more recent developments in social interactions modelling and touching on the role of institutions path dependence and economic history the survey also points to some of the more promising future directions for the subject that are beginning to appear in the literature the survey covers elements of hedonic models spatial econometrics neighbourhood models housing market areas housing supply models of segregation migration housing tenure subnational house price modelling including the so called ripple effect and agent based models possible future directions are set in the context of a selection of recent papers that have appeared in urban studies nevertheless there are still important gaps in the literature that merit further attention arising at least partly from emerging policy problems these include more research on housing and biodiversity

discrete order admission atp model with joint effect of margin and order size in a mto environment abstract swarming demands and seasonality periodically induce a stringent capacity problem in the made to order mto b2b environment desirable order admission is a tactic with minimal application cost for handling this problem a real time order admission problem with limited major customer population and batch size demand with heterogeneous distributions is modeled as a dynamic and stochastic knapsack problem the optimality of the markovian deterministic reward threshold policy is verified optimal policy basic policy and the capacity rationing method are compared in the designed experiment the numerical results suggest great potential for increasing profit using the optimal order admission policy for mto businesses

pricing non storable perishable goods by using a purchase restriction with an application to airline fare pricing abstract the aim of this paper is to address the pricing problem of non storable perishable goods or services such as airline seats and hotel rooms by incorporating the use of purchase restrictions such as the advance booking requirement that is commonly used by airlines and hotels we will show that there exists an optimal pricing policy of at most three prices which can be obtained by solving a series of linear programming problems we will demonstrate that when applied to airline fare pricing the monotonicity condition of the model is equivalent to the requirement that business travelers are less price elastic than leisure travelers we will further illustrate the applicability of the model through a numerical example in the context of airline fare pricing by incorporating the impact of various fences

dynamic pricing and warranty policies for products with fixed lifetime abstract we consider a repairable product with known market entry and departure times a warranty policy is offered with product purchase under which a customer can have a failed item repaired free of charge in the warranty period it is assumed that customers are heterogeneous in their risk attitudes toward uncertain repair costs incurred after the warranty expires the objective is to determine a joint dynamic pricing and warranty policy for the lifetime of the product which maximizes the manufacturer s expected profit in the first part of the analysis we consider a linearly decreasing price function and a constant warranty length we first study customers purchase patterns under several different pricing strategies by the manufacturer and then discuss the optimal pricing and warranty strategy in the second part we assume that the warranty length can be altered once during the product lifetime in developing a joint pricing and warranty policy numerical studies show that a dynamic warranty policy can significantly outperform a fixed length warranty policy

optimal dynamic pricing for perishable assets with nonhomogeneous demand we consider a dynamic pricing model for selling a given stock of a perishable product over a finite time horizon customers whose reservation price distribution changes over time arrive according to a nonhomogeneous poisson process we show that at any given time the optimal price decreases with inventory we also identify a sufficient condition under which the optimal price decreases over time for a given inventory level this sufficient condition requires that the willingness of a customer to pay a premium for the product does not increase over time in addition to shedding managerial insight these structural properties enable efficient computation of the optimal policy numerical studies are conducted to show the revenue impact of dynamic price policies price changes are set to compensate for statistical fluctuations of demand and to respond to shifts of the reservation price for the former our examples show that using optimal dynamic optimal policies achieves 2 4 7 3 revenue improvement over the optimal single price policy for the latter the revenue increase can be as high as 100 these results explain why yield management has become so essential to fashion retailing and travel service industries

inequality in the globalizing asia this article investigates the impact of globalization on the inequality of asia it is the first attempt to examine 11 asian countries panel data allowing nonlinearity between globalization and inequality from 1960 to 2003 with robustness check we also survey the literature on growth globalization and inequality and reflect their endogenous relationships to our article we found the significant turning point of globalization at which inequality starts decreasing as further globalization proceeds it will offer us policy implications for the ongoing process of globalization in the asian economies

dynamic pricing of perishable assets under competition we study dynamic price competition in an oligopolistic market with a mix of substitutable and complementary perishable assets each firm has a fixed initial stock of items and competes in setting prices to sell them over a finite sales horizon customers sequentially arrive at the market make a purchase choice and then leave immediately with some likelihood of no purchase the purchase likelihood depends on the time of purchase product attributes and current prices the demand structure includes time variant linear and multinomial logit demand models as special cases assuming deterministic customer arrival rates we show that any equilibrium strategy has a simple structure involving a finite set of shadow prices measuring capacity externalities that firms exert on each other equilibrium prices can be solved from a one shot price competition game under the current time demand structure taking into account capacity externalities through the time invariant shadow prices the former reflects the transient demand side at every moment and the latter captures the aggregate supply constraints over the sales horizon this simple structure sheds light on dynamic revenue management problems under competition which helps capture the essence of the problems under demand uncertainty we show that the equilibrium solutions from the deterministic game provide precommitted and contingent heuristic policies that are asymptotic equilibria for its stochastic counterpart when demand and supply are sufficiently large this paper was accepted by yossi aviv operations management

pricing and capacity rationing for rentals with uncertain durations we consider a rental firm with two types of customers contract customers pay fixed prenegotiated rental fees and expect a high quality of service walk in customers have no contractual relations with the firm and are shopping for price given multiple contract and walk in classes the rental firm has to decide when to offer service to contract customers and what fees to charge walk in customers for service we formulate this rental management problem as a problem in stochastic control and characterize optimal policies for managing contract and walk in customers we also consider static myopic controls that are simpler to implement and we analytically establish conditions under which these policies perform optimally complementary numerical tests provide a sense of the range of systems for which myopic policies are effective

analysis of deterministic lp based booking limit and bid price controls for revenue management we study the performance of two popular and widely used heuristics for revenue management known as the booking limit and bid price controls in contrast to a recent result in the literature where frequent re solvings of a certain heuristic are shown to significantly reduce revenue loss we show that the asymptotic revenue loss of either booking limit or bid price control cannot be reduced regardless of the choice of re solving times and the frequency of re solving moreover we also show that further variations within the policy classes such as nested instead of partition booking limit or certainty equivalent instead of additive bid price are simply indistinguishable in terms of their order of revenue loss under frequent re solvings this negative result highlights the limitation of re solving deterministic linear programs when the solution is interpreted as either a booking limit or a bid price finally we briefly discuss how to modify the traditional booking limit control to make it more responsive

dynamic pricing of inventory capacity with infrequent price changes we consider a problem of dynamically pricing a single product sold by a monopolist over a short time period if demand characteristics change throughout the period it becomes attractive for the company to adjust price continuously to respond to such changes i e price discriminate intertemporally however in practice there is typically a limit on the number of times the price can be adjusted due to the high costs associated with frequent price changes if that is the case instead of a continuous pricing rule the company might want to establish a piece wise constant pricing policy in order to limit the number of price adjustments such a pricing policy which involves optimal choice of prices and timing of price changes is the focus of this paper we analyze the pricing problem with a limited number of price changes in a dynamic deterministic environment in which demand depends on the current price and time and there is a capacity inventory constraint that may be set optimally ahead of the selling season the arrival rate can evolve in time arbitrarily allowing us to model situations in which prices decrease increase or neither we consider several plausible scenarios where pricing and or timing of price changes are endogenized various notions of complementarity single crossing property supermodularity and total positivity are explored to derive structural results conditions sufficient for the uniqueness of the solution and the monotonicity of prices throughout the sales period furthermore we characterize the impact of the capacity constraint on the optimal prices and the timing of price changes and provide several other comparative statics results additional insights are obtained directly from the solutions of various special cases

integration of pricing and capacity allocation for perishable products abstract for years pricing and capacity allocation decisions in most revenue management models have been carried out independently this article presents a comprehensive model to integrate these two decisions for perishable products we assume that the supplier sells the same products to different micro markets at distinct prices throughout the sales season the supplier faces decisions as to which micro markets or customer classes should be served and at what prices we show that i at any time a customer class is active being served if and only if the price offered is over a threshold level but the optimal price may not be the highest one of the supplier s choice ii when the price decision is made in conjunction with inventory it is similar to the procedure shown in pure pricing models i e the optimal price comes from a subset of prices that forms a maximum increasing concave envelope iii because of dynamic changes in the optimal prices the nested price structure does not necessarily hold in general and needs to be redefined and iv the optimal pricing and capacity control policy is based on a sequence of threshold points that incorporate inventory price and demand intensity numerical examples are provided

revenue management by sequential screening abstract using a mechanism design approach we consider a firm s optimal pricing policy when consumers are heterogeneous and learn their valuations at different times we show that by offering a menu of advance purchase contracts that differ in when and for how much the product can be returned a firm can more easily price discriminate between privately informed consumers in particular we show that screening on when the return option can be exercised increases firm profits relative to screening on the size of the refund alone only if the expected gains from trade are higher for consumers who learn later we show that in some settings mean preserving spread the firm can achieve the complete information profits and analyze the optimal contract in other settings first order stochastic dominance in which the first best allocation is not always feasible

price discrimination through refund contracts in airlines this paper shows how an airline monopoly uses refundable and non refundable tickets to screen consumers who are uncertain about their travel our theoretical model predicts that the difference between these two fares diminishes as individual demand uncertainty is resolved using an original data set from u s airline markets we find strong evidence supporting our model price discrimination opportunities through refund contracts decline as the departure date nears and individuals learn about their demand

dynamic pricing through discounts for optimizing multiple class demand fulfillment in a multiple customer class model of demand fulfillment for a single item we consider the use of dynamic price discounts to encourage backlogging of demand for customer classes denied immediate service customers are assumed to arrive over several stages in a period and customer classes are distinguished by their contractual price and sensitivity to discounts through dynamic programming we determine the optimal discounts to offer assuming a linear model for the sensitivity of customers to such inducements we show that customers are served in class order and allocation of inventory to demand is determined by considering the current number of customers backlogged as well as the current inventory position through comparison to a naive supplier allocating inventory first come first served with no discounting we show that profits are primarily influenced by the allocation of capacity and the use of price discounts primarily benefits the second class customers overall fill rate heuristics for implementation of the solution in real time settings are given

a competitive dynamic pricing model when demand is interdependent over time abstract in this study we contribute to the dynamic pricing literature by developing a finite horizon model for two firms offering substitutable and nonperishable products with different quality levels customers can purchase and store the products even if they do not need them at the time in order to use them in future the stockpile of the products generated by customers affects the demand in future periods therefore the demand for each product not only is a function of prices and quality levels but also of the products stockpile levels in addition the stockpile levels change the customers consumption behavior more product in a stockpile leads to more consumption therefore we address not only the price and demand relationship but also the stockpiling and consumption relationship in a competitive environment the decision variable of each firm at the beginning of each period is its unit sale price we use a deterministic dynamic program to calculate the equilibrium prices at the beginning of each period by assuming that the market stockpile is public information we show the existence of a unique nash equilibrium we next consider the case when the firms do not know the market stockpile we then develop appropriate heuristics to calculate the optimal prices in each case a numerical study is also provided to calculate the price levels in different scenarios and compare their performances

pricing and revenue management the value of coordination the integration of systems for pricing and revenue management must trade off potential revenue gains against significant practical and technical challenges this dilemma motivates us to investigate the value of coordinating decisions on prices and capacity allocation in a stylized setting we propose two pairs of sequential policies for making static decisions on pricing and revenue management that differ in their degree of integration hierarchical versus coordinated and their pricing inputs deterministic versus stochastic for a large class of stochastic price dependent demand models we prove that these four heuristics admit tractable solutions satisfying intuitive sensitivity properties we further evaluate numerically the performance of these policies relative to a fully coordinated model which is generally intractable we find it interesting that near optimal performance is usually achieved by a simple hierarchical policy that sets prices first based on a nonnested stochastic model and then uses these prices to optimize nested capacity allocation this tractable policy largely outperforms its counterpart based on a deterministic pricing model jointly optimizing price and allocation decisions for the high end segment improves performance but the largest revenue benefits stem from adjusting prices to account for demand risk this paper was accepted by yossi aviv operations management

optimal price lead time menus for queues with customer choice segmentation pooling and strategic delay how should a firm design a price lead time menu and scheduling policy to maximize revenues from heterogeneous time sensitive customers with private information about their preferences we consider a queueing system with multiple customer types that differ in their valuations for instant delivery and their delay costs the distinctive feature of our model is that the ranking of customer preferences depends on lead times patient customers are willing to pay more than impatient customers for long lead times and vice versa for speedier service we provide necessary and sufficient conditions in terms of the capacity the market size and the properties of the valuation delay cost distribution for three features of the optimal menu and segmentation pricing out the middle of the delay cost spectrum while serving both ends pooling types with different delay costs into a single class and strategic delay to deliberately inflate lead times this paper was accepted by assaf zeevi stochastic models and simulation

optimal starting times for end of season sales and optimal stopping times for promotional fares many industries face the problem of selling a fixed stock of items over a finite horizon these industries include airlines selling seats before planes depart hotels renting rooms before midnight theaters selling seats before curtain time and retailers selling seasonal goods such as air conditioners or winter coats before the end of the season given a fixed number of seats rooms or coats the objective for these industries is to maximize revenues in excess of salvage value when demand is price sensitive and stochastic pricing is an effective tool to maximize revenues in this paper we address the problem of deciding the optimal timing of a single price change from a given initial price to either a given lower or higher second price under mild conditions we show that it is optimal to decrease resp to increase the initial price as soon as the time to go falls below resp above a time threshold that depends on the number of yet unsold items

can the kuznets effect be relied on to induce equalizing growth abstract the use of internationally comparable income data to test kuznet s inverted u hypothesis introduces several econometric problems this study a explains and corrects for these econometric problems b assesses the sensitivity of estimated results to alternative functional specifications and sample variations c provides a more rigorous test for structural change between more and less developed countries in the phasing of the inequality trend and d estimates the time likely to elapse before various of the developing countries reach the turning point the study s findings offer broad support for kuznets s hypothesis but do not support the advocacy of development policies focused exclusively on growth for low income countries growth s equalizing phase cannot be anticipated to set in for half a century

towards an integrated framework for development and environment policy the dynamics of environmental kuznets curves abstract environmental kuznets curves ekcs have recently received considerable attention in development and environment policy but little is known on how the interaction between ecological and economic factors may result in an ekc or other qualitatively different outcomes we introduce a restricted class of vector valued differential equations for representing the evolution of socioeconomic and environmental variables which influence or are influenced by the process of economic development our model includes not only the complete path of each variable over time but also the highly critical interactions among multiple variables we demonstrate analytically and numerically that among a multiplicity of possible outcomes an inverted u pattern can only be obtained under specific circumstances and requires attention to the multiple factors which form the economic environmental system rather than a single dominant one

aspects of inequality in greece abstract inequality in the distribution of consumption expenditure per equivalent adult is measured and decomposed using the primary data of two greek household expenditure surveys 1974 1982 among the factors included in the decomposition analysis only education accounts for a relatively large part of aggregate inequality between 1974 and 1982 inequality declined substantially both within groups and between groups although changes in the structure of the population had an adverse effect on inequality

optimal allocation without money an engineering approach we study the allocation of heterogeneous services to agents with incomplete information and without monetary transfers agents have private multidimensional utilities over services drawn from commonly known priors the social planner s goal is to maximize a potentially complex public objective for tractability we take an engineering approach in which we solve a large market approximation and convert the solution into a feasible finite market mechanism that still yields good results we apply this framework to real data from boston to design a mechanism that assigns students to public schools in order to maximize a linear combination of utilitarian and max min welfare subject to capacity and transportation constraints we show how to optimally solve a large market formulation with more than 868 types of students and 77 schools and we translate the solution into a finite market mechanism that significantly outperforms the baseline plan chosen by the city in terms of efficiency equity and predic

dynamic capacity management with general upgrading this paper studies a capacity management problem with upgrading a firm needs to procure multiple classes of capacities and then allocate the capacities to satisfy multiple classes of customers that arrive over time a general upgrading rule is considered i e unmet demand can be satisfied using multistep upgrade no replenishment is allowed and the firm has to make the allocation decisions without observing future demand we first characterize the structure of the optimal allocation policy which consists of parallel allocation and then sequential rationing specifically the firm first uses capacity to satisfy the same class demand as much as possible then considers possible upgrading decisions in a sequential manner we also propose a heuristic based on certainty equivalence control to solve the problem numerical analysis shows that the heuristic is fast and delivers close to optimal profit for the firm finally we conduct extensive numerical studies to derive insights into the problem it is foun

misleading comparisons of homeownership rates when the variable effect of household formation is ignored explaining rising homeownership and the homeownership gap between blacks and asians in the us despite ominous signs of housing market stress in the us the homeownership rate reached an all time high in 2006 the conventional definition of homeownership which is based on the share of households and ignores the effects of variable household formation confounds the measurement of success in achieving homeownership it is found that from 1990 to 2006 declining household formation led to an elevated homeownership rate in the us and that this effect varies substantially between racial ethnic groups asians who achieve high homeownership rates have the lowest propensity to form independent households in sharp contrast to african americans asians do not have better access per capita to owner occupied housing than do blacks the conventional measure of homeownership is an incomplete measure of homeownership opportunity because it fails to account for variable household formation the changing population mix in the us includes groups with different propensities for household formation thus confusing future assessments of homeownership and the housing market

pricing and design of differentiated services approximate analysis and structural insights we consider a model of a service system that delivers two nonsubstitutable services to a market of heterogenous users the first service is delivered subject to a guaranteed g processing rate and the second is a best effort be type service in which residual capacity not allocated to the guaranteed class isshared among be users users in turn are sensitive to both price and congestion related effects the service provider s objective is to optimally design the system so as to extract maximum revenues the design variables in this problem consist of a pair of static prices for the two services a policy that controls admission of g users into the system and the mechanism by which users are informed of the state of congestion in the system because these objectives are difficult to address using exact analysis we pursue approximations that are tractable and lead to structural insights specifically we first solve a deterministic relaxation of the original objective to obtain a fluid optimal solution that is subsequently evaluated and refined to account for stochastic fluctuations using diffusion limits we derive approximations that yield the following structural results 1 pricing rules derived from the deterministic analysis are almost optimal 2 the optimal operational regime for the system is close to heavy traffic and 3 real time congestion notification results in increased revenues numerical results illustrate the accuracy of the proposed approximations and validate the aforementioned structural insights

revenue management without forecasting or optimization an adaptive algorithm for determining airline seat protection levels we investigate a simple adaptive approach to optimizing seat protection levels in airline revenue management systems the approach uses only historical observations of the relative frequencies of certain seat filling events to guide direct adjustments of the seat protection levels in accordance with the optimality conditions of brumelle and mcgill 1993 stochastic approximation theory is used to prove the convergence of this adaptive algorithm to the optimal protection levels in a simulation study we compare the revenue performance of this adaptive approach to a more traditional method that combines a censored forecasting method with a common seat allocation heuristic emsr b

the stochastic knapsack revisited switch over policies and dynamic pricing the stochastic knapsack has been used as a model in wide ranging applications from dynamic resource allocation to admission control in telecommunication in recent years a variation of the model has become a basic tool in studying problems that arise in revenue management and dynamic flexible pricing and it is in this context that our study is undertaken based on a dynamic programming formulation and associated properties of the value function we study in this paper a class of control that we call switch over policies start by accepting only orders of the highest price and switch to including lower prices as time goes by with the switch over times optimally decided via convex programming we establish the asymptotic optimality of the switch over policy and develop pricing models based on this policy to optimize the price reductions over the decision horizon