the effect of supply uncertainty in price setting newsvendor models abstract we consider a price setting newsvendor model in which a firm needs to make joint inventory and pricing decisions before the selling season the supply process is uncertain such that the received quantity is the product of the order quantity and a random yield rate two cost structures are investigated the in house production case in which the firm pays for the input quantity and the procurement case in which the firm pays for the quantity received only our objective is to investigate the effect of yield randomness on optimal decisions and expected profit by using the theory of stochastic comparisons we find that under both cost structures a less variable yield rate leads to a lower optimal price and a higher expected profit moreover we show that in the in house production case a stochastically larger yield rate also results in a lower optimal price and a higher profit but this is not true in the procurement case examples show that the effect of supply uncertainty on optimal order quantity is not universal

optimal supply diversification under general supply risks we analyze a planning model for a firm or public organization that needs to cover uncertain demand for a given item by procuring supplies from multiple sources the necessity to employ multiple suppliers arises from the fact that when an order is placed with any of the suppliers only a random fraction of the order size is usable the model considers a single demand season with a given demand distribution where all supplies need to be ordered simultaneously before the start of the season the suppliers differ from one another in terms of their yield distributions their procurement costs and capacity levels the planning model determines which of the potential suppliers are to be retained and what size order is to be placed with each we consider two versions of the planning model in the first the service constraint model scm the orders must be such that the available supply of usable units covers the random demand during the season with at least a given probability in the second version of the model the total cost model tcm the orders are determined so as to minimize the aggregate of procurement costs and end of the season inventory and shortage costs in the classical inventory model with a single fully reliable supplier these two models are known to be equivalent but the equivalency breaks down under multiple suppliers with unreliable yields for both the service constraint and total cost models we develop a highly efficient procedure that generates the optimal set of suppliers as well as the optimal orders to be assigned to each most importantly these procedures generate a variety of important qualitative insights for example regarding which sets of suppliers allow for a feasible solution both when they have ample supply and when they are capacitated and how various model parameters influence the selected set of suppliers the aggregate order size and the optimal cost values

fixed costs and long lived investments abstract fixed costs models are difficult to analyze because they feature non degenerate time varying distributions of capital across firms if investments are sufficiently long lived however then the cross sectional distribution of capital holdings has virtually no bearing on the equilibrium and the aggregate behavior of fixed cost models is essentially identical to neoclassical models the findings are due to a near infinite elasticity of investment timing for long lived investments a feature shared by fixed cost models and neoclassical models irrelevance results found in numerical studies of fixed cost models are not parametric special cases but instead are fundamental properties of models with long lived investment goods

democracy financial openness and global carbon dioxide emissions heterogeneity across existing emission levels summary the determinants of co 2 emissions have attracted many researchers over the past few decades most of studies however ignore the possibility that effect of independent variables on co 2 emissions could vary throughout the co 2 emission distribution we address this issue by applying quantile regression methods we examine whether greater democracy and more financial openness consistently reduce emissions among the most and least emission nations our results show that the effect of democracy on co 2 emissions is heterogeneous across quantiles among the most emissions nations greater democracy appears to reduce emissions but more financial openness does not appear to reduce it

pricing in a customer market in standard pricing models movements in demand are partially offset by price responses in a customer market however price markups may decrease with high demand thus price may magnify rather than stabilize demand movements i consider a monopolist selling a good of which first time consumers are uncertain repeat customers know that the product works the monopolist trades the objectives of exploiting past customers and attracting new ones in a period with many new potential customers the monopolist gives more weight to attracting and lowers its markup last i examine some evidence on whether expansions are periods with disproportionately many new customers

real rigidities and the non neutrality of money rigidities in real prices are not sufficient to create rigidities in nominal prices and real effects of nominal shocks and by themselves small frictions in nominal adjustment such as costs of changing prices create only small non neutralities but this paper shows that substantial nominal rigidity can arise from a combination of real rigidities and small nominal frictions the paper shows the connection between real and nominal rigidity given the presence of nominal frictions both in general and for two specific sources of real rigidity one arising from goods market imperfections and the other from labour market imperfections

the behavior of prices and inflation an empirical analysis of disaggregat price data this paper analyzes the effects of inflation on the dispersion of prices as well as other aspects of price behavior using disaggregated data on prices of foodstuffs in israel during 1978 84 we find that the effect of expected inflation on intramarket price variability is stronger than the effect of unexpected inflation we show that even in times of high inflation price quotations are not trivially short and price changes are not synchronized across firms these facts taken together confirm that there is some staggering in the setting of prices we find that the distribution of real prices is far from being uniform as many menu cost based models assume or conclude in fact as inflation increases to very high levels this distribution is not even symmetric when the annual inflation rate reaches 130 percent there are equal chances of finding real prices above or below the market average but upward deviations in the real price are further away from zero than downward ones furthermore as the annu

the quantitative analytics of the basic neomonetarist model this paper constructs a dynamic macroeconomic model with less than perfect price flexibility which has a classical side consistent with real business cycle theory augmented by investment adjustment costs increasing returns to scale and a new flexible formalization of imperfect competition something akin to the classical dichotomy is justified by a mode of approximation appropriate for a model in which one state variable adjusts quickly while another state variable adjusts slowly even with investment adjustment costs monetary expansions are found to raise the real interest rate the determinants of real rigidity and the macroeconomic rate of price adjustment are investigated copyright 1995 by ohio state university press

a semi parametric panel data analysis on the urbanization carbon emissions nexus for oecd countries abstract this study takes a fresh look at the presence of an urbanization carbon emissions environmental kuznets curve for a panel of the organization for economic co operation and development oecd countries from 1960 to 2010 using a recently developed semi parametric panel fixed effects regression model through incorporating a quadratic term for the urbanization variable into the stochastic impacts by regression on population affluence and technology model our analysis represents one of the first oecd studies aimed at determining the effect of urbanization on carbon emissions and identifying the relationship between these two variables compared with parametric panel fixed effects regression more robust results from the recently developed method revealed that energy intensity and per capita gdp had clear effects on per capita carbon emissions urbanization also significantly contributed to changes in per capita carbon emissions we also found strong evidence for an inverse u shaped curve relationship between urbanization and carbon emissions verifying the environmental kuznets curve hypothesis these findings advance the emerging consensus on the urbanization carbon emissions nexus also the novel model used combined with our estimation method can be readily extended to cover other regions for investigating the relationship between development and environmental pollution

new keynesian models durable goods and collateral constraints abstract econometric evidence suggests that in response to monetary policy shocks durable and non durable spending co move positively and durable spending exhibits a much larger sensitivity to the shocks a standard two sector new keynesian model with perfect financial markets is at odds with these facts the introduction of a borrowing constraint where durables play the role of collateral assets helps in reconciling the model with the empirical evidence

monetary policy and investment dynamics evidence from disaggregate data we use disaggregated data on the components of private fixed investment pfi to estimate industry level responses of real investment and capital prices to unanticipated monetary policy the response functions derive from a restricted large scale var estimated over 1959 2007 our results point to significant cross sector heterogeneity in the behavior of pfi prices and quantities for assets belonging to the equipment category of fixed investment we find that quantities rather than prices absorb most of the fallout from a policy shock by contrast the price effects tend to be higher and the output effects lower for nonresidential structures

the timing and magnitude of retail store markdowns evidence from weekends and holidays we examine daily prices of eight goods at seventeen retail stores collected in ann arbor michigan over a four month period from november 1 to february 28 we focus on weekly and seasonal price patterns and on the frequency of price markdowns or sales there were frequent markdowns in the intensive shopping period prior to christmas and a tendency for such sales to occur on weekends we interpret these findings as evidence that a significant number of markdowns are timed to occur when shopping intensity is exogenously high we complement the imperfect information based motives for sales in the literature by contributing an additional element based on the role of bulk shopping and increasing returns in the shopping technology

pricing and the news vendor problem a review with extensions in the newsvendor problem a decision maker facing random demand for a perishable product decides how much of it to stock for a single selling period this simple problem with its intuitively appealing solution is a crucial building block of stochastic inventory theory which comprises a vast literature focusing on operational efficiency typically in this literature market parameters such as demand and selling price are exogenous however incorporating these factors into the mode l can provide an excellent vehicle for examining how operational problems interact with marketing issues to influence decision making at the firm level in this paper we examine an extension of the newsvendor problem in which stocking quantity and selling price are set simultaneously we provide a comprehensive review that synthesizes existing results for the single period problem and develop additional results to enrich the existing knowledge base we also review and develop insight into a dynamic inventory extension of this problem and motivate the applicability of such models

joint inventory replenishment and pricing control for systems with uncertain yield and demand we study the joint inventory replenishment and pricing problem for production systems with random demand and yield more specifically we analyze the following single item periodic review model demands in consecutive periods are independent random variables and their distributions are price sensitive the production yield is uncertain so that the quantity received from a replenishment is a random variable whose distribution depends on the production quantity stockouts are fully backlogged our problem is to characterize the optimal dynamic policy that simultaneously determines the production quantity and the price for each period to maximize the total discounted profit we show that the optimal replenishment policy is of a threshold type i e it is optimal to produce if and only if the starting inventory in a period is below a threshold value and that both the optimal production quantity and the optimal price in each period are decreasing in the starting inventory we further study the operational e

the relationship between urbanization energy use and carbon emissions evidence from a panel of association of southeast asian nations asean countries abstract this study uses annual data to detect the nexus between urbanization energy use and carbon emissions in a panel of association of southeast asian nations asean countries spanning the period 1980 2009 the study contributes to the increasing empirical literature by investigating the effects of urbanization and detecting causal links between the variables results from the pedroni panel cointegration tests show evidence for the existence of a long term equilibrium relationship between urbanization energy use and carbon emissions for the asean countries using the panel fully modified ordinary least squares technique the effect of urbanization on carbon emissions is further revealed i e a 1 rise in urban population results in a 0 20 increase in carbon emissions unilateral short run causal relationships from urbanization to energy use and from urbanization to carbon emissions have been found by granger causality tests also the results clearly indicate that in the long term urbanization together with energy use granger causes carbon emissions the paper concludes with main findings and provides recommendations toward rational planning of urban development and energy efficiency improvement strategies for the asean countries

the structure of periodic review policies in the presence of random yield this work provides a comprehensive analysis of a general periodic review production inventory model with random variable yield existence of an order point whose value does not depend on yield being random is proved in the single period case without specifying the yield model and using a very general cost structure when yield is a random multiple of lot size the nonorder up to optimal policy is characterized for a finite horizon model the finite horizon value functions are shown to converge to the solution of an infinite horizon functional equation and the infinite horizon order point is shown to be no smaller than when yield is certain

price and order postponement in a decentralized newsvendor model with multiplicative and price dependent demand we analyze the effect of price and order postponement in a decentralized newsvendor model with multiplicative and price dependent demand wherein the manufacturer sets the wholesale price and possibly offers a buyback rate and the retailer determines the order quantity and retail price such postponement strategies can be used by the retailer by delaying his operational decisions order quantity and retail price until after demand uncertainty is observed we show how the equilibrium values of the contract parameters and profits are affected by i vertical competition ii type of contract wholesale price only or buyback iii demand distribution iv form of the expected demand function and v the timing of the retailer s operational decisions although in most cases postponement is quite beneficial for the channel members we show that for some model parameters due to vertical competition the expected value of perfect information about demand for price postponement and order postponement may be negative for the channel and even surprisingly for both members we also show that when a buyback option is offered neither order postponement nor price postponement has an effect on the equilibrium wholesale price profit allocation ratio between the manufacturer and the retailer and channel efficiency and that the equilibrium wholesale price expected retail price profit allocation ratio between the manufacturer and the retailer and channel efficiency in the model with buyback options under either order or price postponement further coincide with their counterparts in the corresponding deterministic model

refitting the kuznets curve abstract using baltagi and li 2002 s semi parametric fixed effects regression estimator we investigate the existence of an aggregate kuznets curve in a sample of 113 countries over the 1960 2000 period our results show that misspecification of the functional form in a panel model with fixed effects and the failure to control for the endogeneity of income per capita can lead to dramatically different conclusions regarding the impact of economic development on inequality while we find observational evidence of an inverted u relationship between inequality and economic development this relationship does not seem to be causal once we account for endogeneity inequality appears to decrease monotonically with income per capita

search costs sticky prices and markups this article investigates how search costs price stickiness and product durability influence the impact of inflation on firm markups we provide evidence that each of these three factors plays an independent role in influencing the responsiveness of markups to inflation although we find that the direct effect of inflation on markups is negative offsetting positive influences of inflation on markups arise in industries that produce durable experience goods with flexible prices thus our results indicate that markups of industries producing nondurable search goods with sticky prices tend to experience unambiguously negative impacts from inflation

resource flexibility with responsive pricing this article studies two types of flexibility used by firms to better respond to uncertain market conditions resource flexibility and responsive pricing we consider a situation in which a single flexible resource can be used to satisfy two distinct demand classes while the resource capacity must be decided based on uncertain demand functions the resource allocation as well as the pricing decision are made based on the realized demand functions we characterize the effects of two key drivers of flexibility demand variability and demand correlation assuming normally distributed demand curve intercepts demand variability creates opportunity costs and with fixed prices decreases the firm s profit we show that with the additional flexibility gained from responsive pricing the firm can maximize the benefits of favorable demand conditions and mitigate the effects of poor demand conditions ultimately profiting from variability positive demand correlation on the other hand remains undesirable under responsive pricing the optimal capacity of the flexible resource is always increasing in both demand variability and demand correlation this contrasts with the scenarios based on fixed prices highlighting the crucial difference that responsive pricing makes in the management of flexible resources we further quantify the value of flexibility for the firm and its customers by considering as a benchmark a firm relying on two dedicated resources the value of flexibility is most significant if the demand levels are highly variable and negatively correlated in such cases the firm benefits from demand variability due to responsive pricing while facing limited demand risk due to resource flexibility finally we endogenize the input price of the flexible resource by considering the pricing decision of the resource supplier

the role of demographic and economic drivers on the environment in traditional and standardized stirpat analysis abstract the stirpat approach identifies human impacts on the environment most studies find higher ecological elasticities related to population compared to gdp per capita growth applying the logarithmic form of the stirpat equation which mitigates the problem of the variables different variances and units further allows for appealing economic interpretation and policy conclusions at the same time the question of the predictor variables relative importance cannot be finally answered by this approach in response the present paper complements the traditional ecological elasticities by the calculation of standardized coefficients for a sample of 84 countries and the period between 1980 and 2014 results indicate that gdp per capita rather than population growth matters more for explaining environmental impacts admittedly interpretation of standardized coefficients is not without limitations first they are sample specific and cannot be compared across different studies second a predictor variable might not affect the environment only on its own but joint impacts could be present the paper addresses these problems and provides a careful interpretation of and comparison between non standardized and standardized coefficients overall there is good reason to assume that environmental impacts can be reduced more readily by a policy giving priority to economic rather than population growth

sticky price models of the business cycle can the contract multiplier solve the persistence problem we construct a quantitative equilibrium model with firms setting prices in a staggered fashion and use it to ask whether monetary shocks can generate business cycle fluctuations these fluctuations include persistent movements in output along with the other defining features of business cycles like volatile investment and smooth consumption we assume that prices are exogenously sticky for a short time persistent output fluctuations require endogenous price stickiness in the sense that firms choose not to change prices much when they can do so we find that for a wide range of parameter values the amount of endogenous stickiness is small thus we find that in a standard quantitative model staggered price setting alone does not generate business cycle fluctuations

menu costs and phillips curves this paper develops a model of a monetary economy in which individual firms are subject to idiosyncratic productivity shocks as well as general inflation sellers can change price only by incurring a real menu cost we calibrate this cost and the variance and autocorrelation of the idiosyncratic shock using a new u s data set of individual prices due to klenow and kryvtsov the prediction of the calibrated model for the effects of high inflation on the frequency of price changes accords well with international evidence from various studies the model is also used to conduct numerical experiments on the economy s response to various shocks in none of the simulations we conducted did monetary shocks induce large or persistent real responses

urbanization and co2 emissions a semi parametric panel data analysis this paper investigates the relationship between urbanization and co2 emissions in a sample of 20 emerging countries over the period 1992 2008 using the semi parametric panel data model with fixed effects proposed by baltagi and li 2002 we find little evidence in support of an inverted u curve and thus the kuznets hypothesis is not confirmed by our analysis our findings shed new light on the urbanization co2 emissions nexus

the effect of democracy on co2 emissions in emerging countries does the level of income matter abstract using quantile regression technique this paper explores the interaction effects of democracy and income on co2 emissions in 19 emerging countries over the period 1997 2010 the results indicate a stronger and significant interaction impact on co2 emissions only at the lower emission countries moreover democracy reduces co2 emissions but only if the country has already reached to a certain income level the new empirical evidence from this study provides a more complete picture of the determinants of emissions throughout the conditional distribution and these novel findings not only help advance the existing literature but also can be of special interest to the country s policy makers especially among the most democracy and least democracy nations

non renewable and renewable energy consumption and co2 emissions in oecd countries a comparative analysis abstract this paper attempts to explore the determinants of co 2 emissions using the stirpat model and data from 1980 to 2011 for oecd countries the empirical results show that non renewable energy consumption increases co 2 emissions whereas renewable energy consumption decreases co 2 emissions further the results support the existence of an environmental kuznets curve between urbanisation and co 2 emissions implying that at higher levels of urbanisation the environmental impact decreases therefore the overall evidence suggests that policy makers should focus on urban planning as well as clean energy development to make substantial contributions to both reducing non renewable energy use and mitigating climate change

technical note a risk averse newsvendor model under the cvar criterion the classical risk neutral newsvendor problem is to decide the order quantity that maximizes the one period expected profit in this note we consider a risk averse newsvendor with stochastic price dependent demand we adopt conditional value at risk cvar a risk measure commonly used in finance as the decision criterion the aim of our study is to investigate the optimal pricing and ordering decisions in such a setting for both additive and multiplicative demand models we provide sufficient conditions for the uniqueness and existence of the optimal policy comparative statics show the monotonicity properties and other characteristics of the optimal pricing and ordering decisions we also compare our results with those of the newsvendor with a risk neutral attitude and a general utility function

diversification under supply uncertainty supply chain management is becoming an increasingly important issue especially when in most industries the cost of materials purchased comprises 40 60 of the total sales revenue despite the benefits cited for single sourcing in the popular literature there is enough evidence of industries having two three sources for most parts in this paper we address the operational issue of quantity allocation between two uncertain suppliers and its effects on the inventory policies of the buyer based on the type of delivery contract a buyer has with the suppliers we suggest three models for the supply process model i is a one delivery contract with all of the order quantity delivered either in the current period with probability or in the next period with probability 1 model ii is also a one delivery contract with a random fraction of the order quantity delivered in the current period the portion of the order quantity not delivered is cancelled model iii is similar to model ii with the remaining quantity delivered in the next period we derive the optimal ordering policies that minimize the total ordering holding and penalty costs with backlogging we show that the optimal ordering policy in period n for each of these models is as follows for x a n order nothing for vi n x a n use only one supplier and for x vi n order from both suppliers for the limiting case in the single period version of model i we derive conditions under which one would continue ordering from one or the other or both suppliers for model ii we give sufficient conditions for not using the second more expensive supplier when the demand and yield distributions have some special form for the single period version of models ii and iii with equal marginal ordering costs we show that the optimal order quantities follow a ratio rule when demand is exponential and yields are either normal or gamma distributed

demographic effects on residential electricity and city gas consumption in the aging society of japan abstract japan has been confronted with two demographic forces declining fertility rates and lengthening life spans which give rise to the increasing ratio of the elderly aging society the decline in population and the prevalence of nuclear families this study empirically analyzes the demographic effects on residential electricity and city gas consumption in japan our analysis presents the following main results first the aging of the society decreases the electricity demand but does not affect the city gas demand significantly second the decrease in population with the prevalence of nuclear families increases the electricity demand but decreases the city gas demand the direction of the demand for each alternative depends on the balancing of the first and second effects third the analysis also shows clear results about the own and cross price effects ongoing energy market reforms for price suppression would increase energy demand with possible substitutability between the two energy sources our case study of japan is also applicable to other countries that will have just started to experience the similar demographic pattern of an aging society with energy market deregulation

role of risk aversion in price postponement under supply random yield price postponement is an effective mechanism to hedge against the adverse effect of supply random yield however its effectiveness and the resulting production decisions have not been studied for

infinite horizon strategies for replenishment systems with a general pool of suppliers we consider a general infinite horizon inventory control model that combines demand and supply risks and the firm s ability to mitigate the supply risks by diversifying its procurement orders among a set of n potential suppliers supply risks arise because only a random percentage of any given replenishment order is delivered as useable units the suppliers are characterized by the price they charge and the distribution of their yield factor assuming unsatisfied demand is backlogged the firm incurs as in standard inventory models three types of costs i procurement costs ii inventory carrying costs for units carried over from one period to the next and iii backlogging costs we establish the existence of an optimal stationary policy under both the long run discounted and average cost criteria and characterize its structure assuming each period s inventory level distribution can be approximated as a normal we develop an efficient solution method identifying additional structural properties finally we identify a simple class of heuristic policies that come close to being optimal

pricing production and persistence though built with increasingly precise microfoundations modern optimizing sticky price models have displayed a chronic inability to generate large and persistent real responses to monetary shocks as recently stressed by chari kehoe and mcgrattan 2000 this is an ironic finding since taylor 1980 and other researchers were motivated to study sticky price models in part by the objective of generating large and persistent business fluctuations we trace this lack of persistence to a standard view of the cyclical behavior of real marginal cost built into current sticky price macro models using a fully articulated general equilibrium model we show how an alternative view of real marginal cost can lead to substantial persistence this alternative view is based on three features of the supply side of the economy that we believe are realistic an important role for produced inputs variable capacity utilization and labor supply variability through changes in employment importantly these real flexibilities work together to dramatically reduce the elasticity of marginal cost with respect to output from levels much larger than unity in ckm to values much smaller than unity in our analysis these real flexibilities consequently reduce the extent of price adjustments by firms in time dependent pricing economies and the incentives for paying fixed costs of adjustment in state dependent pricing economies the structural features also lead the sticky price model to display volatility and comovement of factor inputs and factor prices that are more closely in line with conventional wisdom about business cycles and various empirical studies of the dynamic effects of monetary shocks federal reserve bank of philadelphia boston university nber and frb richmond this paper builds on earlier joint work with alexander l wolman on this topic we wish to thank brian boike for providing excellent research assistance and also to thank the referees and the editor for making numerous useful suggestions the views expressed in this article are those of the authors and do not necessarily represent those of the federal reserve bank of philadelphia the federal reserve bank of richmond or the federal reserve system

the transmission of monetary policy in a multisector economy this article constructs and estimates a sticky price dynamic stochastic general equilibrium model with heterogeneous production sectors firms in different sectors vary in their price rigidity production technology and the combination of material and investment inputs in particular firms buy inputs from all sectors using the actual input output matrix and capital flow table of the u s economy by relaxing the standard assumption of symmetry this model allows idiosyncratic sectoral dynamics in response to monetary policy shocks the model is estimated by the generalized method of moments using sectoral and aggregate u s time series

sticky prices new evidence from retail catalogs this paper presents new results on the size frequency and synchronization of price changes for twelve selected retail goods over the past 35 years three basic facts about the data are uncovered first nominal prices are typically fixed for more than one year although the time between changes is very irregular second prices change more often during periods of high overall inflation third when prices do change the sizes of the changes are widely dispersed both large and small changes occur for the same item and the sizes of these changes do not closely depend on overall inflation

nonparametric regression techniques in economics this introduction to nonparametric regression emphasizes techniques that might be most accessible and useful to the applied economist the paper begins with a brief overview of the class of models under study and central theoretical issues such as the curse of dimensionality the bias variance trade off and rates of convergence the paper then focuses on kernel and nonparametric least squares estimation of the nonparametric regression model and optimal differencing estimation of the partial linear model constrained estimation and hypothesis testing is also discussed empirical examples include returns to scale in electricity distribution and hedonic pricing of housing attributes

does urbanization lead to less energy use and lower co2 emissions a cross country analysis despite the relationship between urbanization energy use and co2 emissions has been extensively studied in recent years little attention has been paid to differences in development stages or income levels most previous studies have implicitly assumed that the impact of urbanization is homogenous for all countries this assumption can be questionable as there are many characteristic differences among countries of different levels of affluence this paper investigates empirically the effects of urbanization on energy use and co2 emissions with consideration of the different development stages using the stochastic impacts by regression on population affluence and technology stirpat model and a balanced panel dataset of 99 countries over the period 1975 2005 the findings suggest that the impact of urbanization on energy use and emissions varies across the stages of development surprisingly urbanization decreases energy use in the low income group while it increases energy use in the middle and high income groups the impact of urbanization on emissions is positive for all the income groups but it is more pronounced in the middle income group than in the other income groups these novel findings not only help advance the existing literature but also can be of special interest to policy makers and urban planners

a semi parametric panel data analysis on the urbanisation carbon emissions nexus for the mena countries abstract this study seeks to examine the impacts of urbanisation on carbon emissions through the investigation of the existence of an environmental kuznets curve ekc within the stochastic impacts by regression on population affluence and technology stirpat framework this is the first study in the mena region to explore the urbanisation and carbon emissions nexus using panel data together with a semi parametric panel fixed effects regression the data set refers to a panel of 20 countries in the mena region spanning the period 1980 2014 according to the results there is little evidence to support an inverted u shaped relationship between urbanisation and carbon emissions in the region more specifically it was found in the region and with the continuation of the urbanisation process carbon emissions per capita decreased in addition the results suggest that energy use and economic growth are the main sources of carbon emissions in the region the results imply that policies to reduce carbon emissions in the countries with relatively higher carbon emissions should concentrate more on energy use and the pattern of economic growth and not the urbanisation issue

an elasticity approach to the newsvendor with price sensitive demand we introduce a measure of elasticity of stochastic demand called the elasticity of the lost sales rate which offers a unifying perspective on the well known newsvendor with pricing problem this new concept provides a framework to characterize structural results for coordinated and uncoordinated pricing and inventory strategies concavity and submodularity of the profit function as well as sensitivity properties of the optimal inventory and price policies are characterized by monotonicity conditions or bounds on the elasticity of the lost sales rate these elasticity conditions are satisfied by most relevant demand models in the marketing and operations literature our results unify and complement previous work on price setting newsvendor models and provide a new tool for researchers modeling stochastic price sensitive demand in other contexts

staggering and synchronization in price setting evidence from multiproduct firms theoretical work on price setting behavior focuses on the single product case while in reality a single price setter sells many products the authors use retail store level multiproduct pricing data to learn about price dynamics they find that while the timing of a product s price changes is staggered across stores selling the same product the timing of the price changes of different products sold within the same store is highly synchronized this finding validates the usual assumption that decisions are staggered across price setters and suggests that price rigidity is due mostly to mechanical reasons and not to informational asymmetries copyright 1996 by american economic association

combined pricing and inventory control under uncertainty this paper addresses the simultaneous determination of pricing and inventory replenishment strategies in the face of demand uncertainty more specifically we analyze the following single item periodic review model demands in consecutive periods are independent but their distributions depend on the item s price in accordance with general stochastic demand functions the price charged in any given period can be specified dynamically as a function of the state of the system a replenishment order may be placed at the beginning of some or all of the periods stockouts are fully backlogged we address both finite and infinite horizon models with the objective of maximizing total expected discounted profit or its time average value assuming that prices can either be adjusted arbitrarily upward or downward or that they can only be decreased we characterize the structure of an optimal combined pricing and inventory strategy for all of the above types of models we also develop an efficient value iteration method to compute these optimal strategies finally we report on an extensive numerical study that characterizes various qualitative properties of the optimal strategies and corresponding optimal profit values

responsive pricing under supply uncertainty consider a retailer orders a seasonal product from a supplier and sells the product over a selling season while the product demand is known to be a linear function of price the supply yield is uncertain and is distributed according to a general discrete probability distribution this paper presents a two stage stochastic model for analyzing two pricing policies no responsive pricing and responsive pricing under the no responsive pricing policy the retailer would determine the order quantity and the retail price before the supply yield is realized under the responsive pricing policy the retailer would specify the order quantity first and then decide on the retail price after observing the realized supply yield therefore the responsive pricing policy enables the retailer to use pricing as a response mechanism for managing uncertain supply our analysis suggests that the retailer would always obtain a higher expected profit under the responsive pricing policy in addition to examining the impact of yield distribution and system parameters on the optimal order quantities retail prices and profits under these two pricing policies we analyze two issues arising from responsive pricing the first issue deals with the case in which the retailer can place an emergency order with an alternative source after observing the realized yield while the second issue deals with a situation in which the retailer has to allocate his order among multiple suppliers

sticky price models and durable goods the inclusion of a durable goods sector in sticky price models has strong and unexpected implications even if most prices are flexible a small durable goods sector with sticky prices may be sufficient to make aggregate output react to monetary policy as though most prices were sticky in contrast flexibly priced durables with sufficiently long service lives can undo the implications of standard sticky price models in a limiting case flexibly priced durables cause monetary policy to have no effect on aggregate output our analysis suggests that durable goods prices are the most relevant data for calibrating price rigidity jel e21 e23 e31 e52

optimal pricing with costly adjustment evidence from retail grocery prices in many theoretical models it is assumed that there are costs associated with adjusting prices in this paper the existence type and magnitude of such costs are investigated empirically a discrete choice dynamic programming model that nests fixed and variable costs is developed and econometric estimates of the adjustment cost function are obtained the data used to implement the model consist of weekly retail prices and sales of three brands of saltine crackers sold by four chains of grocery stores in a small u s town the study has several distinguishing characteristics first the data are highly disaggregate at the level of brand and store second variables are sampled at weekly intervals third the model nests fixed and variable adjustment costs and can therefore determine their relative importance finally the discrete choice model is both structural and dynamic

the magnitude of menu costs direct evidence from large u s supermarket chains we use store level data to document the exact process of changing prices and to directly measure menu costs at five multistore supermarket chains we show that changing prices in these establishments is a complex process requiring dozens of steps and a nontrivial amount of resources the menu costs average 105 887 year per store comprising 0 70 percent of revenues 35 2 percent of net margins and 0 52 price change these menu costs may be forming a barrier to price changes specifically 1 a supermarket chain facing higher menu costs due to item pricing laws that require a separate price tag on each item changes prices two and one half times less frequently than the other four chains 2 within this chain the prices of products exempt from the law are changed over three times more frequently than the products subject to the law in principle fixed costs of changing prices can be observed and measured in practice such costs take disparate forms in different firms and we have no data on their magnitude so the theory can be tested at best indirectly at worst not at all alan blinder 1991 p 90

selecting a portfolio of suppliers under demand and supply risks we analyze a planning model for a firm or public organization that needs to cover uncertain demand for a given item by procuring supplies from multiple sources each source faces a random yield factor with a general probability distribution the model considers a single demand season all supplies need to be ordered before the start of the season the planning problem amounts to selecting which of the given set of suppliers to retain and how much to order from each so as to minimize total procurement costs while ensuring that the uncertain demand is met with a given probability the total procurement costs consist of variable costs that are proportional to the total quantity delivered by the suppliers and a fixed cost for each participating supplier incurred irrespective of his supply level each potential supplier is characterized by a given fixed cost and a given distribution of his random yield factor the yield factors at different suppliers are assumed to be independent of the season s demand which is described by a general probability distribution determining the optimal set of suppliers the aggregate order and its allocation among the suppliers on the basis of the exact shortfall probability is prohibitively difficult we have therefore developed two approximations for the shortfall probability although both approximations are shown to be highly accurate the first based on a large deviations technique ldt has the advantage of resulting in a rigorous upper bound for the required total order and associated costs the second approximation is based on a central limit theorem clt and is shown to be asymptotically accurate whereas the order quantities determined by this method are asymptotically optimal as the number of suppliers grows most importantly this clt based approximation permits many important qualitative insights

a semi parametric panel data analysis on financial development economic volatility nexus in developing countries abstract this paper examines the effect of financial development on economic growth volatility in a sample of 50 developing countries from 1960 to 2016 since no conclusive results have been provided by previous studies on such association we employ a semi parametric panel fixed effects regression model as introduced by baltagi and li 2002 the semi parametric model does not impose any functional restriction on the relationship between financial development and economic volatility and helps to capture the existence of non linearities in the data we find that the financial development volatility relation is non linear with multiple turning points our findings make new evidences on the financial development economic volatility nexus

the dynamics of markups and inventories in retailing firms this paper is concerned with the interaction between price and inventory decisions in retailing firms and its implications for the dynamics of markups and the existence of sales pro motions we consider a model where a monopolistically competitive retailer decides price and inventories and assumes lump sum costs when placing orders or changing nominal prices tn this model the existence of stockout probabilities and fixed ordering costs generate a cyclical price behaviour characterized by long periods without nominal price changes and short periods with very low prices i e sales promotions we estimate this model using a unique longitudinal dataset with information about retail and wholesale prices inventories orders and sales for several brands in a supermarket chain based on the estimated model we perform several counterfactual experi ments that show the important role that inventories and fixed ordering costs play in the dynamics of retail prices and the frequency of sales promotions in this dataset

an optimizing is lm specification for monetary policy and business cycle analysis we ask whether relations of the is lm type can sensibly be used for the aggregate demand portion of a dynamic optimizing general equilibrium model intended for analysis of issues regarding monetary policy and cyclical fluctuations the main result is that only one change the addition of a term regarding expected future income is needed to make the is function match a fully optimizing model whereas no changes are needed for the lm function this modification leads to a dynamic forward looking model of aggregate demand that is tractable and usable with a wide variety of aggregate supply specifications theoretical applications concerning price level determinacy and gradual price adjustment are included

intermediate goods and business cycles implications for productivity and welfare this paper presents an aggregate demand driven model of business cycles that provides a new explanation for the procyclicality of productivity and simultaneously predicts large welfare losses from monetary nonneutrality the key features of the model are an input output production structure imperfect competition countercyclical markups and for some results state dependent price rigidity true technical efficiency is procyclical even though production takes place with constant returns without technology shocks or technological externalities the paper has observable implications that distinguish it empirically from related work these implications are generally supported by data from u s manufacturing industries copyright 1995 by american economic association

literature survey on the relationships between energy environment and economic growth abstract the aim of this study is to exhibit an exhaustive survey which is related to the great flight of the literature of energy environment growth nexus at the individual and regional scale studies covering the period from 1978 to 2014 the survey takes into consideration the sample country region etc periods covering econometric strategies and conclusions our survey is based on the causality direction among i the energy use variables electricity nuclear renewable and non renewable and output growth ii between economic growth and environment and between the three variables at the same time globally these surveys provide paradoxical and not conclusive results which energy consumption can boost economic growth through the productivity enhancement and it can boost also the environmental damages through the enhancement of pollutant emissions our survey sheds more the lights on the energy environment growth literature by giving an extensive listing 1978 2014 of these causal linkages among the energy use variables environment and economic growth for both individual and collective cases there is a unanimous consensus about the importance of dealing with such dynamic relationship which is seems to be a cornerstone element in setting any ambition strategies energy ecological and economics

the impact of urbanization on co2 emissions evidence from developing countries abstract this paper analyzes the impact of urbanization on co2 emissions in developing countries from 1975 to 2003 it contributes to the existing literature by examining the effect of urbanization taking into account dynamics and the presence of heterogeneity in the sample of countries the results show an inverted u shaped relationship between urbanization and co2 emissions indeed the elasticity emission urbanization is positive for low urbanization levels which is in accordance with the higher environmental impact observed in less developed regions among our contributions is the estimation of a semi parametric mixture model that allows for unknown distributional shapes and endogenously classifies countries into homogeneous groups three groups of countries are identified for which urbanization s impact differs considerably for two of the groups a threshold level is identified beyond which the emission urbanization elasticity is negative and further increases in the urbanization rate do not contribute to higher emissions however for the third group only population and affluence but not urbanization contribute to explain emissions the differential impact of urbanization on co2 emissions should therefore be taken into account in future discussions of climate change policies

technical note optimal product pricing and component production quantities for an assembly system under supply uncertainty we consider an assemble to order system where one of the components faces uncertainty in the supply process in which the actual available quantity is equal to some random fraction of the production quantity demand is assumed to be price dependent we analyze how the supply uncertainty of one component affects the product pricing and production quantities of all the components under the assembly structure we show that it is profitable for the firm to assemble the product only if the product price exceeds a certain threshold this price threshold increases as the unit cost of each component or the degree of variability of the supply reliability distribution increases but it is independent of the underlying demand function and demand distribution also the optimal product price decreases as supply uncertainty decreases we further show that under deterministic demand the components can be managed independently such that the production quantity or unit cost of the component with supply uncertainty does not affect the optimal production quantity of the other components as long as it is profitable to assemble the product however when demand is stochastic the optimal production quantity of each component depends on the supply reliability distribution as well as the unit costs of the other components for a fixed product price the optimal production quantities of the components are smaller when the unit product price is low and they are higher when the unit product price is high as compared to the case with no supply uncertainty

coordinating inventory control and pricing strategies with random demand and fixed ordering cost the finite horizon case we analyze a finite horizon single product periodic review model in which pricing and production inventory decisions are made simultaneously demands in different periods are random variables that are independent of each other and their distributions depend on the product price pricing and ordering decisions are made at the beginning of each period and all shortages are backlogged ordering cost includes both a fixed cost and a variable cost proportional to the amount ordered the objective is to find an inventory policy and a pricing strategy maximizing expected profit over the finite horizon we show that when the demand model is additive the profit to go functions arek concave and hence an s s p policy is optimal in such a policy the period inventory is managed based on the classical s s policy and price is determined based on the inventory position at the beginning of each period for more general demand functions i e multiplicative plus additive functions we demonstrate that the profit to go function is not necessarilyk concave and an s s p policy is not necessarily optimal we introduce a new concept the symmetrick concave functions and apply it to provide a characterization of the optimal policy

technical note price setting newsvendor problems with uncertain supply and risk aversion the price setting newsvendor problem which models the economic trade offs associated with uncertain demand of a perishable product is fundamental to supply chain analysis however in settings such as agriculture there is significant economic risk associated with supply uncertainty we analyze how risk aversion and the source of uncertainty demand and or supply affect tractability and optimal decisions we find that concavity of the objective function is preserved under the introduction of risk aversion if the source of uncertainty is demand but it is not necessarily preserved if the source of uncertainty is supply we identify a structural difference that explains this result and show that this difference can lead to opposing directional effects of risk aversion on optimal decisions

price versus production postponement capacity and competition this article presents a comparative analysis of possible postponement strategies in a two stage decision model where firms make three decisions capacity investment production inventory quantity and price typically investments are made while the demand curve is uncertain the strategies differ in the timing of the operational decisions relative to the realization of uncertainty we show how competition uncertainty and the timing of operational decisions influence the strategic investment decision of the firm and its value in contrast to production postponement price postponement makes the investment and production inventory decisions relatively insensitive to uncertainty this suggests that managers can make optimal capacity decisions by deterministic reasoning if they have some price flexibility under price postponement additional postponement of production has relatively small incremental value therefore it may be worthwhile to consider flexible ex post pricing before production postponement reengineering while more postponement increases firm value it is counterintuitive that this also makes the optimal capacity decision more sensitive to uncertainty we highlight the different impact of more timely information which leads to higher investment and inventories and of reduced demand uncertainty which decreases investment and inventories our analysis suggests appropriateness conditions for simple make to stock and make to order strategies we also present technical sufficiency and uniqueness conditions under price postponement these results extend to oligopolistic and perfect competition for which pure equilibria are derived interestingly the relative value of operational postponement techniques seems to increase as the industry becomes more competitive

exploring the relationship between urbanization energy consumption and co2 emission in mena countries abstract this study explored the relationship between urbanization energy consumption and co2 emission in the mena countries the panel model was utilized taking the period 1980 2009 into consideration pedroni cointegration test results showed that urbanization energy consumption and co2 emission were cointegrated the dynamic ols results also showed that there was a long run bi directional positive relationship between urbanization energy consumption and co2 emission however the significance of the long run relationship between urbanization energy consumption and co2 emission varied across the countries based on their level of income and development moreover long and short run bi directional causal relationships were found between the variables based on the granger causality test results from the results of this study it is important for the urban planners and policy makers in the mena countries to slow the rapid increase in urbanization the level of energy consumption and co2 emission in the mena countries increased more than double thus slowing down the urbanization level can help reduce the level of pollution and energy consumption in addition the increased energy efficiency implementation of energy savings projects energy conservation and energy infrastructure outsourcing reduce the level of pollution produced by urban areas

how does foreign direct investment affect co2 emissions in emerging countries new findings from a nonlinear panel analysis abstract despite their success in attracting foreign direct investment fdi emerging countries are suffering from increasing carbon pollution the identification of the impact of fdi on co2 emissions plays a prominent role in utilizing fdi to propel cleaner production and reduce pollutant emissions numerous studies have been devoted to clarifying the direct impact of fdi on co2 emissions however little work has focused on the spillover effect of fdi on co2 emissions through economic growth to address this gap in the literature this paper introduces an extension of the panel smooth transition regression pstr model with nonlinear and dynamic features to simultaneously investigate the direct and spillover influences at work in fdi inflows and co2 discharges the results manifest that fdi can directly result in an ascent in co2 concentrations in contrast the results of spillover effect through economic growth suggest that fdi can decrease co2 concentrations with the increase in fdi inflows the total effect of fdi on co2 leakages is smoothly shifted from positive to negative thereby corroborating the pollution haven and pollution halo hypotheses moreover the connection between inward fdi and co2 emissions exhibits two transition regimes and the transition is realized when fdi reaches 24 340 the results of a nonlinear marginal analysis show that the influence of fdi on co2 emissions has significant regional heterogeneity and reveals w v shaped temporal characteristics the findings set out in this study provide new evidence for the evaluation of the pollution risk caused by fdi inflows and insights into the choice of a sustainable development path in emerging markets

state dependent pricing and the general equilibrium dynamics of money and output economists have long suggested that nominal product prices are changed infrequently because of fixed costs in such a setting optimal price adjustment should depend on the state of the economy yet while widely discussed statedependent pricing has proved difficult to incorporate into macroeconomic models this paper develops a new tractable theoretical state dependent pricing framework we use it to study how optimal pricing depends on the persistence of monetary shocks the elasticities of labor supply and goods demand and the interest sensitivity of money demand

aggregation and stabilization policy in a multi contract economy abstract this paper presents a model of a multi sector economy in which each sector is characterized by a different type of wage or price stickness the various sectors experience the same exogenous shocks and have the same money supply the analysis shows that demand shocks pose no serious problems for stabilization policy in contrast supply shocks may force the policymaker to choose between stability in one sector and stability in another the analysis also shows that the economist as to the economy s underlying structure and obscures the tradeoffs the policymaker must confront in particular a feedback rule chosen on the basis of an aggregate model could be either better or worse than a passive policy

operational flexibility and financial hedging complements or substitutes we consider a firm that invests in capacity under demand uncertainty and thus faces two related but distinct types of risk mismatch between capacity and demand and profit variability whereas mismatch risk can be mitigated with greater operational flexibility profit variability can be reduced through financial hedging we show that the relationship between these two risk mitigating strategies depends on the type of flexibility product flexibility and financial hedging tend to be complements substitutes i e product flexibility tends to increase decrease the value of financial hedging and vice versa financial hedging tends to increase decrease the value of product flexibility when product demands are positively negatively correlated in contrast to product flexibility postponement flexibility is a substitute to financial hedging as intuitively expected although our analytical results assume perfect flexibility and perfect hedging and rely on a linear approximation of the value of hedging we validate their robustness in an extensive numerical study

integrating dynamic pricing and replenishment decisions under supply capacity uncertainty this paper examines an integrated decision making process regarding pricing for uncertain demand and sourcing from uncertain supply which are often studied separately in the literature our analysis of the integrated system suggests that the base stock list price policy fails to achieve optimality even under deterministic demand instead the optimal policy is characterized by two critical values a reorder point and a target safety stock under this policy a positive order is issued if and only if the inventory level is below the reorder point when this happens the optimal order and price are coordinated to achieve a constant target safety stock which aims at hedging the demand uncertainty we further investigate the profit improvement obtained from deploying dynamic pricing as opposed to static pricing our results indicate that either supply limit or supply uncertainty may induce a significant benefit from dynamic pricing and the compound effect of supply limit and uncertainty can be much more pronounced than the individual effects whether or not the supply capacity is limited has a major implication on the value of dynamic pricing under unlimited supply dynamic pricing is more valuable when procurement cost is high or when demand is more sensitive to price with limited supply however the capacity restriction tends to be relaxed reducing the value of dynamic pricing

the effects of real and monetary shocks in a business cycle model with some sticky prices an established characteristic of macroeconomic fluctuations is the strong positive correlation between variations in the money stock and variations in production income and employment at business cycle frequencies this finding has motivated an enormous literature that has studied the effects of monetary policy disturbances on the real economy and in particular the role of money in business cycles several classes of monetary business cycle models have been developed that feature different channels through which monetary policy can have real effects one model that has been used widely is the keynesian model in which monetary shocks can have important effects on allocations because there are nominal rigidities in prices and or wages the keynesian assumption of sticky nominal prices is often motivated by reference to studies that have analyzed the frequency of nominal price changes the broad conclusion that emerges from this literature is that there are a number of goods that have prices that appear to change infrequently for example carlton 1989 has reported slow changes in nominal transactions prices for producers goods even without long term relationships between buyers and sellers and has documented that delivery lags and other product characteristics frequently change before nominal prces change similarly blinder s survey 1991 of firms shows that prices for many goods change only about once per year while this evidence