quantitative analysis of network externalities in competing technologies the vcr case we develop a dynamic structural model of consumers choices and producers pricing in an oligopolistic market for newly introduced durable products with network externalities the model is then applied to empirically analyze the de facto standardization of the vhs format in the u s home vcr market during 1981 1988 we find i the network advantage of vhs explains at least 70 3 to 86 8 of the logarithm of relative sales of vhs to betamax in each year ii an increase in the network advantage of vhs was an engine of tipping toward the vhs format and iii in the early 1980s the network advantage of vhs was mainly due to its expected growth advantage

tipping and concentration in markets with indirect network effects this paper develops a framework for measuring tipping the increase in a firm s market share dominance caused by indirect network effects our measure compares the expected concentration in a market to the hypothetical expected concentration that would arise in the absence of indirect network effects in practice this measure requires a model that can predict the counterfactual market concentration under different parameter values capturing the strength of indirect network effects we build such a model for the case of dynamic standards competition in a market characterized by the classic hardware software paradigm to demonstrate its applicability we calibrate it using demand estimates and other data from the 32 64 bit generation of video game consoles a canonical example of standards competition with indirect network effects in our example we find that indirect network effects can lead to a strong economically significant increase in market concentration we also find important roles for beliefs on both the demand side as consumers tend to pick the product they expect to win the standards war and on the supply side as firms engage in penetration pricing to invest in growing their networks

common trends the government s budget constraint and revenue smoothing abstract the requirement that the government s budget be balanced in present value terms is shown to be equivalent to the condition that government expenditures inclusive of interest tax receipts and seignorage be cointegrated the condition is in fact stronger requiring that the deficit inclusive of interest be stationary stationarity of the net of interest deficit is neither necessary nor sufficient for intertemporal budget balance however it does have implications for barro s tax smoothing hypothesis data for the period 1890 1986 are consistent with intertemporal budget balance but not with tax smoothing

the u s evidence on optimal taxation over time abstract this paper considers a tax rule in which a uniform tax rate over time becomes optimal its implications are that 1 changes in the tax rate should arise only when there are changes in permanent government expenditures and 2 no variable other than permanent government expenditures should be of any value in predicting the tax rate these implications are tested using u s data for 1937 82 empirical results of the tests reveal that in addition to responding to permanent government expenditures the tax rate also responds to temporary defense purchases the general price level and a time trend

revenue management with forward looking buyers a seller wishes to sell multiple goods by a deadline for example the end of a season potential buyers enter over time and can strategically time their purchases each period the profit maximizing mechanism awards units to the buyers with the highest valuations exceeding a sequence of cutoffs we show that these cutoffs are deterministic depending only on the inventory and time remaining in the continuous time limit the optimal mechanism can be implemented by posting anonymous prices when incoming demand decreases over time the optimal cutoffs satisfy a one period look ahead property and prices are defined by an intuitive differential equation

rational inattention dynamics inertia and delay in decision making we solve a general class of dynamic rational inattention problems in which an agent repeatedly acquires costly information about an evolving state and selects actions the solution resembles the choice rule in a dynamic logit model but it is biased towards an optimal default rule that does not depend on the realized state we apply the general solution to the study of i the sunk cost fallacy ii inertia in actions leading to lagged adjustments to shocks and iii the tradeoff between accuracy and delay in decision making

word of mouth communication and percolation in social networks this paper develops a model of demand pricing and advertising in the presence of social learning via word of mouth communication between friends in the model consumers must receive information about a monopolist s product in order to consider purchasing it the presence of word of mouth is not sufficient for demand to be more elastic and prices to be lower compared to an informed population i derive the comparative static results of connectivity mean preserving spread of friendships and clustering of friends on prices the optimal targets for advertising are not generically the individuals with the most friends jel l12 l14 a fundamental issue for economists is understanding the process by which demand is formed through social learning by consumers this article develops a framework based on random graphs for understanding the ways social learning via

deficits government expenditures and tax smoothing in the united states 1929 1988 abstract barro s tax smoothing hypothesis tsh implies that the government runs a budget deficit whenever it anticipates the growth rate of national income to increase or the growth rate of its expenditure to decline we test this implication of the hypothesis by examining the implied cross equation restrictions on a vector autoregression var model using u s data for the period ranging from 1929 to 1988 our formal tests reject the hypothesis for the full sample period but cannot reject it for the post 1947 period further investigations show that the statistical rejection should be attributed to sharp differences in the statistical properties of the pre 1947 and the post 1947 data rather than the failure of the hypothesis itself

online content pricing purchase and rental markets digitization of content is changing how consumers and firms use purchase and rental markets low transaction costs make accessing content easier for consumers digital technology enables firms to create nondurable rental versions of their content and to restrict content to the purchasing consumer effectively shutting down resale markets to empirically analyze the interaction of purchase and rental markets i design a preference measurement tool to recover consumers intertemporal preferences through current period choices alone i then use these preferences to solve for a dynamic equilibrium between consumers and the firm in the context of the online home video market i find that when the firm is able to commit to holding prices fixed forever providing content through the purchase market alone is sufficient however when the firm is unable to commit it should serve both purchase and rental markets canonical theory models would predict exclusive rentals but the purchase option enables indirect price discrimination in practice i also find that when consumers place a premium on accessing new content they are less likely to intertemporally substitute thereby increasing the firm s pricing power consistent with theory commitment to future prices increases profits considerably this finding supports the rigid pricing structure of such retailers as apple despite studios push toward more pricing flexibility

the economics of predation what drives pricing when there is learning by doing predatory pricing a deliberate strategy of pricing aggressively in order to eliminate competitors is one of the more contentious areas of antitrust policy and its existence and efficacy are widely debated the purpose of this paper is to formally characterize predatory pricing in a modern industry dynamics framework that endogenizes competitive advantage and industry structure our framework encompasses important phenomena such as learning by doing network effects switching costs dynamic demand and certain types of adjustment costs due to its prominent role in legal cases involving alleged predation we examine learning by doing in more detail we first show that predation like behavior arises routinely in our learning by doing model equilibria involving predation like behavior typically coexist with equilibria involving much less aggressive pricing to disentangle predatory pricing from mere competition for efficiency on a learning curve we next decompose the equilibrium pricing condition and develop alternative characterizations of a firm s predatory pricing incentives we finally measure the impact of these incentives on industry structure conduct and performance we show that forcing a firm to ignore the predatory incentives in setting its price can have a large impact and that this impact stems from eliminating equilibria with predation like behavior along with the predation like behavior however a fair amount of competition for the market is eliminated

measures of fit for rational expectations models this survey provides a detailed description of some of the recent theoretical and empirical literature on rational expectations econometrics the survey pays special attention to non stationarity of the data and to the various methods for evaluating rational expectations models that have been developed as alternatives to the classical statistical approach of testing overidentifying restrictions these methods have become very popular and widely used in empirical research we provide an illustration using danish stock market data and we summarize the many results obtained recently using these measures in areas as diverse as stock prices the term structure of interest rates exchange rates consumption and saving the balance of payments tax smoothing hyperinflation and linear quadratic adjustment cost models for inventories labour demand and money demand

do consumers correctly expect price reductions testing dynamic behavior the assumption that consumers are fully rational and hold correct price expectations is demanding in dynamic settings we claim that it is testable provided that market level data on prices and purchases are available we find that consumers hold simple expectations regarding the timing of promotions for music albums consumers act as if they were aware of reductions but did not revise their beliefs over time the anticipation effect due to strategically delaying purchase amounts to 1 5 of the decision to purchase during regular periods these results have implications in terms of demand estimation optimal pricing and welfare computations

estimating switching costs with market share data an application to medicare part d abstract choice inertia and switching frictions are well documented features of the demand for health insurance in this paper we estimate switching costs in the medicare part d market with aggregate market share data using standard discrete choice models for differentiated products we consider various modelling assumptions myopic and forward looking consumers and with and without random coefficients both myopic and forward looking consumer models with no random coefficients yield switching cost estimates that closely match the actual average switching frequency with implied dollar valued switching costs of 1600 to 2000 we find the inclusion of random coefficients to the myopic consumer model results in smaller estimates of switching costs but only at the expense of the model s fit to the switching frequency the estimated welfare losses from switching frictions are large but they are smaller under the forward looking consumer model amounting to around 500 per enrollee annually compared to over 1000 under the myopic model

voluntary export restraints on automobiles evaluating a trade policy the authors evaluate the voluntary export restraint that was initially placed on exports of automobiles from japan in 1981 they evaluate the impact this policy had on u s consumer welfare firm profits and foregone tariff revenue from its initiation through 1990

keeping it fresh strategic product redesigns and welfare abstract product redesigns happen across virtually all types of products yet there is little evidence on the market and welfare effects of redesigns we develop a model of redesign decisions in a dynamic oligopoly model and use it to analyze redesign activity in the u s automobile market we find automobile model redesigns are frequent despite an estimated average cost around 1 billion our estimates also suggest that redesigns lead to large increases in profits and welfare due to the strong preferences consumers have for redesigns we show that welfare would be improved if redesign competition were reduced allowing redesign activity to be more responsive to the planned obsolescence channel the net effect of these changes would reduce total redesigns by roughly 10 increasing total welfare by roughly 3 the high valuation that consumers put on newly designed models drives frequent redesigns and gives automobile manufacturers fairly substantial market power with a 2 to 1 ratio of firm profits to consumer surplus

intertemporal price discrimination dynamic arrivals and changing values we study the profit maximizing price path of a monopolist selling a durable good to buyers who arrive over time and whose values for the good evolve stochastically the setting is completely stationary with an infinite horizon contrary to the case with constant values optimal prices fluctuate with time we argue that consumers randomly changing values offer an explanation for temporary price reductions that are often observed in practice

decision making under uncertainty capturing dynamic brand choice processes in turbulent consumer goods markets we construct two models of the behavior of consumers in an environment where there is uncertainty about brand attributes in our models both usage experience and advertising exposure give consumers noisy signals about brand attributes consumers use these signals to update their expectations of brand attributes in a bayesian manner the two models are 1 a dynamic model with immediate utility maximization and 2 a dynamic forward looking model in which consumers maximize the expected present value of utility over a planning horizon given this theoretical framework we derive from the bayesian learning framework how brand choice probabilities depend on past usage experience and advertising exposures we then form likelihood functions for the models and estimate them on nielsen scanner data for detergent we find that the functional forms for experience and advertising effects that we derive from the bayesian learning framework fit the data very well relative to flexible ad hoc functional forms such as exponential smoothing and also perform better at out of sample prediction another finding is that in the context of consumer learning of product attributes although the forward looking model fits the data statistically better at conventional significance levels both models produce similar parameter estimates and policy implications our estimates indicate that consumers are risk averse with respect to variation in brand attributes which discourages them from buying unfamiliar brands using the estimated behavioral models we perform various scenario evaluations to find how changes in marketing strategy affect brand choice both in the short and long run a key finding obtained from the policy experiments is that advertising intensity has only weak short run effects but a strong cumulative effect in the long run the substantive content of the paper is potentially of interest to academics in marketing economics and decision sciences as well as product managers marketing research managers and analysts interested in studying the effectiveness of marketing mix strategies our paper will be of particular interest to those interested in the long run effects of advertising note that our estimation strategy requires us to specify explicit behavioral models of consumer choice behavior derive the implied relationships among choice probabilities past purchases and marketing mix variables and then estimate the behavioral parameters of each model such an estimation strategy is referred to as structural estimation and econometric models that are based explicitly on the consumer s maximization problem and whose parameters are parameters of the consumers utility functions or of their constraints are referred to as structural models a key benefit of the structural approach is its potential usefulness for policy evaluation the parameters of structural models are invariant to policy that is they do not change due to a change in the policy in contrast the parameters of reduced form brand choice models are in general functions of marketing strategy variables e g consumer response to price may depend on pricing policy as a result the predictions of reduced form models for the outcomes of policy experiments may be unreliable because in making the prediction one must assume that the model parameters are unaffected by the policy change since the agents in our models choose among many alternative brands their choice probabilities take the form of higher order integrals we employ monte carlo methods to approximate these integrals and estimate our models using simulated maximum likelihood estimation of the dynamic forward looking model also requires that a dynamic programming problem be solved in order to form the likelihood function for this we use a new approximation method based on simulation and interpolation techniques these estimation techniques may be of interest to researchers and policy makers in many fields where dynamic choice among discrete alternatives is important such as marketing decision sciences labor and health economics and industrial organization

intertemporal tax smoothing and the government budget surplus canada and the united states this paper shows that if the government smooths taxes then the budget surplus should equal the present discounted value of expected changes in government expenditure this implication of the tax smoothing hypothesis imposes more stringent restrictions on the data than the more usual method of testing whether changes in tax rates follow a random walk the tax smoothing model is applied to the federal government budgets of canada and the united states and in each case receives considerable empirical support copyright 1995 by ohio state university press

upstream innovation and product variety in the u s home pc market this article investigates the welfare implications of the rapid innovation in central processing units cpus and asks whether it results in inefficient elimination of basic personal computer pc products i analyse a game in which firms make multiple discrete product choices and tackle challenges such as partial identification and sample selection estimation results demonstrate that the demand for pcs is highly segmented and that fixed costs consume a substantial portion of the per unit producer profit the estimated model implies that intel s introduction of its pentium m chip contributed significantly to the growth of the mobile pc segment and to consumer welfare the lion s share of the benefits to consumers was enjoyed by the 20 least price sensitive consumers i also find that the pentium m crowded out the pentium iii and pentium 4 technologies and that the benefits to consumers from keeping those older products on the shelf would have been comparable to the added fixed costs while total welfare cannot be increased by keeping older technologies on the shelf such a policy would have allowed the benefits from innovation to trickle down to price sensitive households improving their access to mobile computing

mergers with differentiated products the case of the ready to eat cereal industry traditional merger analysis is difficult to implement when evaluating mergers in industries with differentiated products i discuss an alternative which consists of demand estimation and the use of a model of postmerger conduct to simulate the competitive effects of a merger i estimate a brand level demand system for ready to eat cereal using supermarket scanner data and use the estimates to 1 recover marginal costs 2 simulate postmerger price equilibria and 3 compute welfare effects under a variety of assumptions the methodology is applied to five mergers two of which occurred and for which i compare predicted to actual outcomes

intertemporal price discrimination with complementary products e books and e readers this paper studies intertemporal price discrimination ipd with complementary products in the context of e readers and e books using individual level data 2008 2012 i estimate a dynamic demand

budget balance through revenue or spending adjustments abstract the paper provides a historical perspective on the issue of whether budget deficits are typically eliminated by increased taxes or by reduced spending by examining u s budget data from 1792 1988 i conclude that about 50 65 of all deficits due to tax cuts and about 65 70 of all deficits due to higher government spending have been eliminated by subsequent spending cuts while the remainder was eliminated by subsequent tax increases in contrast to previous studies the empirical analysis uses error correction models in a way that the intertemporal budget constraint is imposed in the estimation stage

the dynamic effects of bundling as a product strategy several key questions in bundling have not been empirically examined in marketing is mixed bundling more effective than pure bundling or pure components does correlation in consumer valuations make bundling more or less effective does bundling serve as a complement or substitute to network effects to address these questions we develop a consumer choice model from microfoundations to capture the essentials of our setting the handheld video game market we provide a framework to understand the dynamic long term effects of bundling on demand the primary explanation for the profitability of bundling relies on homogenization of consumer valuations for the bundle allowing the firm to extract more surplus we find that bundling can be effective through a novel and previously unexamined mechanism of dynamic consumer segmentation which operates independent of the homogenization effect and can in fact be stronger when the homogenization effect is weaker we also find that bundles are treated as separate products distinct from component products by consumers sales of both hardware and software components decrease in the absence of bundling and consumers who had previously purchased bundles might delay purchases resulting in lower revenues we also find that mixed bundling dominates pure bundling and pure components in terms of both hardware and software revenues investigating the link between bundling and indirect network effects we find that they act as substitute strategies with a lower relative effectiveness for bundling when network effects are stronger

demand for differentiated durable products the case of the u s computer printer market i introduction this paper aims to provide a theoretical and empirical description of consumer behavior in a dynamic market for differentiated durable goods the computer hardware industry serves as an example of the type of market we consider markets for computer systems and components as well as for many other high technology products exhibit some striking similarities that are of particular concern for an empirical economist as follows products are differentiated in multiple dimensions in addition to price products are durable yielding consumption services over multiple periods product quality rapidly improves over time empirical work on estimating differentiated product demand systems has been dominated by static discrete choice models with random utility see berry levinsohn and pakes 1995 goldberg 1995 and nevo 2001 among others however markets for durable goods exhibit several features at odds with their assumption of myopic consumer behavior first traditional static discrete choice models implicitly assume that consumers participate in the market every period choosing one of the available products or an outside option thus the fraction of consumers who do not buy any product in a given period could only be explained by the high value they assign to the outside alternative for durable goods however purchases are made infrequently and result in a consumer s exiting the market for a significant period of time hence the model needs to account for consumers outflow from the market arising from their purchase decisions second a static framework may give a misleading picture of the aggregate sales time pattern in a dynamic industry in many markets for durable products it is not uncommon to see rapidly improving product quality and falling prices given any reasonable set of consumer preferences over the product characteristics space static discrete choice models for such an industry will tend to predict an upward trend in aggregate sales this fails to account for a variety of patterns commonly seen in the data third the evolution of product quality leads to the possibility of intertemporal demand substitution by forgoing a current purchase the consumer retains the option to buy a potentially better product in the future hence the decision of when to buy may be just as important for consumers as the decision of what to buy this trade off cannot be accounted for in the static framework the purpose of this paper is to remedy these shortcomings of static discrete choice models in durable goods markets with particular attention paid to technological change and the dynamics of new products adoption the paper presents a dynamic model of consumer demand for differentiated durable products that explicitly accounts for consumers expectations of future product quality and consumers outflow from the market that arises endogenously from their purchase decisions in this model the consumer faces a sequence of static discrete choice problems over a non stationary choice set we show that for a subclass of random utility models which include the multinomial logit and the mcfadden 1978 generalized extreme value gev model there exists a scalar valued sufficient statistic that determines the value of the option to postpone the purchase this allows us to model industry evolution over a vastly reduced state space and to formalize the consumer s decision of when to buy as an optimal stopping problem a solution to that problem defines the hazard rate of product adoptions while the nested discrete choice model determines the alternative specific purchase probabilities integrating individual decisions over the population distribution generates rich dynamics of aggregate and product level sales the paper proceeds to present monte carlo evidence that ignoring the time dimension of consumer choice will induce a downward bias in the estimates of consumer preferences over quality sometimes reversing the sign of the coefficients

durable goods oligopoly with secondary markets the case of automobiles we study the effects of durability and secondary markets on equilibrium firm behavior in the car market we construct a dynamic oligopoly model of a differentiated product market to incorporate the equilibrium production dynamics that arise from the durability of the goods and their active trade in secondary markets we derive an econometric model and estimate its parameters using data from the automobile industry over a 20 year period our estimates are used to provide a measure of the competitive importance of the secondary market

a reconsideration of hedonic price indexes with an application to pc s this paper compares hedonic to matched model indexes matched model indexes are averages of the price changes of goods that remain on sampled stores shelves since goods that disappear tend to have falling market values matched model indexes select from the right tail of price changes the bls can construct hedonic indexes that correct for this selection and are justified by standard arguments in an empirical study of pc s hedonics produce sharp price declines while matched model indexes are near zero also though there are modifications to hedonics that seem desirable they are not those in current use

house prices and consumer welfare we develop a new approach to measuring changes in consumer welfare due to changes in the price of owner occupied housing in our approach an agent s welfare adjustment is defined as the transfer required to keep expected discounted utility constant given a change in current house prices we demonstrate that up to a first order approximation there is no aggregate change in welfare due to price increases in the existing housing stock this follows from a simple market clearing condition where capital gains experienced by sellers are exactly offset by welfare losses to buyers we show that this result holds approximately even in a model that accounts for changes in consumption and investment plans prompted by current house price changes there can however be changes in welfare due to additions to the stock of housing or to changes in the price of renovating and upgrading the existing stock of housing for the united states we estimate the welfare cost of house price appreciation to be an average of 127 per household per year over the 1984 1998 period

the flexible coefficient multinomial logit fc mnl model of demand for differentiated products we show fc mnl is flexible in the sense of diewert thus its parameters can be chosen to match a well defined class of possible own and cross price elasticities of demand in contrast to models such as probit and random coefficient mnl models fc mnl does not require estimation via simulation it is fully analytic under well defined and testable parameter restrictions fc mnl is shown to be an unexplored member of mcfadden s class of multivariate extreme value discrete choice models therefore fc mnl is fully consistent with an underlying structural model of heterogeneous utility maximizing consumers we provide a monte carlo study to establish its properties and we illustrate its use by estimating the demand for new automobiles in italy

rationality and the political business cycle the case of local government the empirical results which have been reported support the hypotheses implied by the model of rational political behavior set out in section 2 in pre election periods local government development expenditures deviate significantly from their normal levels the extent of deviation is approximately 20

the environmental effect of green taxation the case of the french bonus malus a feebate on the purchase of new cars the bonus malus was introduced in france in 2008 less polluting cars benefited from a price reduction of up to 1 000 euro whereas the most polluting ones were subject to a taxation of 2 600 euro we estimate the impact of this policy on carbon dioxide emissions in the short and long run if the shift towards the classes benefiting from rebates is considerable we estimate the environmental impact of the policy to be negative while feebates may be efficient tools for reducing co2 emissions they should thus be designed carefully to achieve their primary goal

income and wealth heterogeneity in the macroeconomy how do movements in the distribution of income and wealth affect the macroeconomy we analyze this question using a calibrated version of the stochastic growth model with partially uninsurable idiosyncratic risk and movements in aggregate productivity our main finding is that in the stationary stochastic equilibrium the behavior of the macroeconomic aggregates can be almost perfectly described using only the mean of the wealth distribution this result is robust to substantial changes in both parameter values and model specification our benchmark model whose only difference from the representative agent framework is the existence of uninsurable idiosyncratic risk displays far less cross sectional dispersion and skewness in wealth than u s data however an extension that relies on a small amount of heterogeneity in thrift does succeed in replicating the key features of the wealth data furthermore this extension features aggregate time series that depart significantly from permanent income behavior

dynamic logit with choice aversion we characterize a generalization of discounted logistic choice that incorporates a parameter to capture different views the agent might have about the costs and benefits of larger choice sets the discounted logit model used in the empirical literature is the special case that displays a preference for flexibility in the sense that the agent always prefers to add additional items to a menu other cases display varying levels of choice aversion where the agent prefers to remove items from a menu if their ex ante value is below a threshold we show that higher choice aversion as measured by dislike of bigger menus also corresponds to an increased preference for putting off decisions as late as possible

dynamic demand for new and used durable goods without physical depreciation the case of japanese video games we develop a new dynamic demand model for new and used durable goods and quantify the impact of used goods markets on producers profits and consumer welfare

inventories and the automobile market this article studies the within model year pricing production and inventory management of new automobiles using new monthly data on u s transaction prices we document that for the typical vehicle prices fall over the model year at a 9 0 annual rate concurrently both sales and inventories are hump shaped to explain these time series we formulate an industry model for new automobiles in which inventory and pricing decisions are made simultaneously the model predicts that automakers build to stock inventory management policy substantially influences the time series of prices and sales accounting for four tenths of the price decline observed over the model year

demand dynamics in the seasonal goods industry an empirical analysis this study develops and estimates a dynamic model of consumer choice behavior in markets for seasonal goods where products are sold over a finite season and availability is limited in these markets retailers often use dynamic markdown policies in which an initial retail price is announced at the beginning of the season and the price is subsequently marked down as the season progresses strategic consumers face a trade off between purchasing early in the season when prices are higher but goods are available and purchasing later when prices are lower but the stockout risk is higher if the good starts providing utility as soon as it is purchased e g apparel consumers purchasing earlier in the season can also get more use from the product compared to those purchasing later our structural model incorporates three features essential for modeling the demand for seasonal goods changing prices limited availability and possible dependence of total consumption utility on the time of purchase in this model heterogeneous consumers have expectations about future prices and product availability and they strategically time their purchases we estimate the model using aggregate sales and inventory data from a fashion goods retailer the results indicate that in the fashion goods context ignoring consumers expectations about future availability or the change in total consumption utility over the season can lead to biased demand estimates we find that strategic consumers delay their purchases to take advantage of markdowns and that these strategic delays hurt the retailer s revenues retailer revenues facing strategic consumers are 9 lower than they would have been facing myopic consumers limited availability on the other hand reduces the extent of strategic delays by motivating consumers to purchase earlier we find that the impact of strategic delays on retailer revenues would have been as high as 35 if there were no stockout risk by means of counterfactual experiments we show that the highest retailer profits are achieved by offering small markdowns early in the season on the other hand given current markdown percentages the retailer can improve profits by carrying less stock as consumers accelerate purchases and purchase at higher prices when they anticipate scarcity in future periods as long as the reduction in availability is not great the profit gain from earlier higher priced sales can overcome the loss resulting from the reduction in overall sales

when do secondary markets harm firms to investigate whether secondary markets aid or harm durable goods manufacturers we build a dynamic model of durable goods oligopoly with transaction costs in the secondary market calibrating model parameters using data from the us automobile industry we find the net effect of opening the secondary market is to decrease new car manufacturers profits by 35 percent counterfactual scenarios in which the size of the used good stock decreases such as when products become less durable when the number of firms decreases or when firms can commit to future production levels increase the profitability of opening the secondary market

switching cost and deposit demand in china this article develops and estimates a dynamic model of consumer demand for deposits in which banks provide differentiated products and product characteristics that evolve over time the switching cost is 0 8 of the deposit s value which leads the static model to bias the demand estimates the dynamic model shows that the price elasticity over a long time horizon is larger than the same elasticity over a short time horizon counterfactual experiments with a dynamic monopoly show that reducing the switching cost has a comparable competitive effect on bank pricing as a result of reducing the dominant position of the monopoly

measuring consumer switching costs in the television industry in this article i develop and estimate a model of dynamic consumer behavior with switching costs in the market for paid television services i estimate the parameters of the structural model using data on cable and satellite systems across local us television markets over the period 1992 2006 the results suggest switching costs range from 159 to 242 for cable and from 212 to 276 for satellite providers in 1997 dollars using a simple dynamic model of cable providers i demonstrate that switching costs of these magnitudes can significantly affect the firms optimal strategies

environmentalism stimulus and inequality reduction through industrial policy did cash for clunkers achieve the trifecta the 2009 american cash for clunkers program which subsidized consumers who scrapped old vehicles and purchased new vehicles was promoted by appealing to multiple constituencies we evaluate the policy and alternatives according to its stated goals emissions reductions economic stimulus and reducing inequality we calibrate a dynamic partial equilibrium portfolio model to match consumer expenditure data from 1998 to 2011 focusing on heterogeneity across cars and trucks we find the program generated 0 17 in environmental benefits 0 28 in consumer surplus and 0 31 in net discounted additional spending per subsidy dollar since subsidies largely went to middle income infra marginal consumers the program exacerbated consumption inequality we evaluate alternative policy designs and find no policy which simultaneously improves all outcomes jel h23 l52 l92 d63

dynamics of consumer demand for new durable goods most new consumer durable goods experience rapid prices declines and quality improvements suggesting the importance of modeling dynamics this paper specifies a dynamic model of consumer preferences for new durable goods with persistently heterogeneous consumer tastes rational expectations and repeat purchases over time we estimate the model on the digital camcorder industry using panel data on prices sales and characteristics we find that the 1 year elasticity in response to a transitory industrywide price shock is about 25 percent less than the 1 month elasticity standard cost of living indices overstate welfare gain in later periods due to a changing composition of buyers

does amd spur intel to innovate more we estimate an equilibrium model of dynamic oligopoly with durable goods and endogenous innovation to examine the effect of competition on innovation in the personal computer microprocessor industry firms make dynamic pricing and investment decisions while consumers make dynamic upgrade decisions anticipating product improvements and price declines consistent with schumpeter we find that the rate of innovation in product quality would be 4 2 percent higher without amd present though higher prices would reduce consumer surplus by 12 billion per year comparative statics illustrate the role of product durability and provide implications of the model for other industries

improving the numerical performance of static and dynamic aggregate discrete choice random coefficients demand estimation the widely used estimator of berry levinsohn and pakes 1995 p roduces estimates of consumer preferences from a discrete choice demand model with random coefficients market level demand shocks and endogenous prices we derive numerical theory results characterizing the properties of the nested fixed point algorithm used to evaluate the objective function of blp s estimator we discuss problems with typical implementations including cases that can lead to incorrect parameter estimates as a solution we recast estimation as a mathematical program with equilibrium constraints which can be faster and which avoids the numerical issues associated with nested inner loops the advantages are even more pronounced for forward looking demand models where the bellman equation must also be solved repeatedly several monte carlo and real data experiments support our numerical concerns about the nested fixed point approach and the advantages of constrained optimization for static blp the constrained optimization approach can be as much as ten to forty times faster for large dimensional problems with many markets

the market impact and the cost of environmental policy evidence from the swedish green car rebate we quantify the effects of the swedish gcr a program to reduce oil dependence and greenhouse gas emissions in the automobile industry we find the gcr to increase the market shares of green cars and its cost to be 109 tonco2 saved thus 5 times the price of an emission permit since the main green cars in sweden are ffvs flexible fuel vehicles which can switch between petrol gasoline and ethanol we also account for fuel choice which increases the cost of the program finally we show that consumers would have purchased ffvs regardless of the rebate provided by the gcr

salience myopia and complex dynamic incentives evidence from medicare part d the standard medicare part d drug insurance contract is non linear with reduced subsidies in a coverage gap resulting in a dynamic purchase problem we consider enrolees who arrived near the gap early in the year and show that they should expect to enter the gap with high probability implying that under a benchmark model with neoclassical preferences the gap should impact them very little we find that these enrolees have flat spending in a period before the doughnut hole and a large spending drop in the gap providing evidence against the benchmark model we structurally estimate behavioural dynamic drug purchase models and find that a price salience model where enrolees do not incorporate future prices into their decision making at all fits the data best for a nationally representative sample full price salience would decrease enrolee spending by 31 entirely eliminating the gap would increase insurer spending 27 compared to 7 for generic drug only gap coverage

product differentiation and oligopoly in international markets the case of the u s automobile industry this paper develops and estimates a model of the u s automobile industry on the demand side a discrete choice model is adopted that is estimated using micro data from the consumer expenditure survey the estimation results are used in conjunction with population weights to derive aggregate demand on the supply side the automobile industry is modelled as an oligopoly with product differentiation equilibrium is characterized by the first order conditions of the profit maximizing firms the estimation results are used in counterfactual simulations to investigate two trade policy issues the effects of the ver and exchange rate pass through

intertemporal substitution and new car purchases this article presents a dynamic demand model for motor vehicles this approach accounts for the change in the mix of consumers over the model year and measures consumers substitution patterns across products and time i find intertemporal substitution is significant consumers are more likely to change the timing of their purchase in reaction to a price increase rather than buy another vehicle in the same period further i find automakers use of large cash back rebates at the end of the model year although boosting overall sales induces large numbers of consumers to delay their purchases and so pay lower prices

the tax smoothing hypothesis evidence from sweden 1952 1999 this paper tests barro s 1979 tax smoothing hypothesis using swedish central government data for the period 1952 1999 according to the tax smoothing hypothesis the government sets the budget surplus equal to expected changes in government expenditure when expenditure is expected to increase the government runs a budget surplus and when expenditure is expected to fall the government runs a budget deficit the empirical evidence suggests that the model provides a useful benchmark and that tax smoothing behavior can explain about 60 percent of the variability in the swedish central government budget surplus