A generalization to QUAIDS

Previous research shows that consumers’ response to price and income changes is heterogeneous. In addition, evidence from national data often does not support the classical assumption of one commodity-one price. This paper introduces a data coherent generalization to the quadratic form of the almost ideal demand system (g-QUAIDS) that incorporates the sources of heterogeneity in the demand function and allows for regional price variation. Aggregation over consumers imposes a linearization to the g-QUAIDS that requires a new set of price indices. The results from an empirical study by using microdata from the Household Income and Expenditure Survey of Iran highlight the impact of aggregation bias in relation to the level of aggregation. An investigation of the predictive power of linear versus nonlinear g-QUAIDS in different aggregation levels provides practical recommendations for consumer demand analysis.     

Housing rent dynamics in Italy

In this paper we focus on tenant rents in Italy and compare results from several methods for the rent dynamic estimation. We first document the sources of data available and then introduce quality adjusted techniques, which enable us to separate the price variation due to qualitative changes in housing attributes from pure price changes. Finally, we compare these measures with unconditional and matched-type price indices derived from microdata. Over the period 1998–2006, we estimate a cumulative rent increase ranging between 40 and 80%. The upper bound refers to the average dynamic for a subset of flats entering the market in a given period. Our hedonic estimates point to an average rent increase of approximately 40%, almost 20 percentage points above the one recorded by the rent component of the Italian consumer price index. A simple calibration model suggests that only part of the difference between our estimates and the official ones is due to survey non-response.     

Measuring Search Frictions Using Japanese Microdata

This paper estimates individual‐level matching functions to measure search frictions in the Japanese labour market and presents the determinants of search duration. We employ administrative microdata that track the job search process of job seekers who left or lost their job in August 2005 and subsequently registered at their local public employment service. Our finding is that the matching function exhibits decreasing rather than constant returns‐to‐scale for job seekers and vacancies. We also find that after controlling for the benefits period, job seekers who lost their job involuntarily were more likely than those quitting voluntarily to exit from unemployment.     

The effect of VAT rate on inflation in Latvia: evidence from CPI microdata

This article evaluates the inflation effect of recent value added tax (VAT) rate changes in Latvia by using consumer price index (CPI) microdata. Our findings suggest that the pass-through of the tax rate to consumer prices is strong in case of upward tax adjustments, especially when there are no demand restrictions, while the pass-through is weaker for tax reductions. The frequency of price changes peaks at the moment of VAT adjustment, which, however, is partially compensated by lower average size of price revisions. The level of pass-through exhibits a high degree of heterogeneity with higher pass-through for goods, especially food, and lower for services.     

The analytics of search with posted prices

Summary. This paper investigates the characteristics of the optimal posted price in the standard sequential search paradigm. Much of the intuition gleaned from the extensive sequential search literature in which the seller adopts a reservation price does not carry over to the posted price setting. For example, an increase in buyer valuations can lead to a reduction in the optimal posted price. We do, however, provide sufficient conditions on the hazard rate function h which ensure that an increase in demand induces an increase in the optimal posted price. As exhibited herein, the analysis of the posted price model depends critically upon analytical properties of h. Amongst the issues treated are the elasticity of demand, finite horizon, sale of multiple units, and competitive equilibrium. Received: October 21, 1999; revised version: March 7, 2000     

Trading mechanism selection with directed search when buyers are risk averse

We endogenize the trading mechanism selection in a model of directed search with risk averse buyers and show that the unique symmetric equilibrium entails all sellers using fixed price trading. Mechanisms that prescribe the sale price as a function of the realized demand (auctions, bargaining, discount pricing, etc.) expose buyers to the “price risk”, the uncertainty of not knowing how much to pay in advance. Fixed price trading eliminates the price risk, which is why risk averse customers accept paying more to shop at such stores.     

Option to wait in a search model

We consider a standard search model with buyers and sellers. Upon meeting the buyers make a take-it-or-leave-it offer, but the sellers have an option not to trade immediately but wait for more agents to appear. If more buyers come, there is excess demand, and the buyers engage in auction to get the good. Analogously, if more sellers come, the sellers engage in a Bertrand-type pricing game to sell the object. The option to wait restricts the price offer of the buyer; in an equilibrium in which trades are consummated without delay there is a unique price offer for the buyer.JEL Classification: C78, D44, D831     

A differentiated tolls system – an effective transport policy tool for Slovenia?

We provide an econometric model of passenger and freight transportation demand based on panel data for 10 sections of toll roads in Slovenia. Transportation demand on Slovenian motorways is price inelastic. The price elasticity of transportation demand statistically varies among different parts of the toll sections, so it would seem sensible to introduce a differentiated toll system that would allow the simultaneous achievement of multiple objectives, such as increasing the internalization of the external costs of transport, increasing transportation demand management on the basis of price and increasing cost recovery for the maintenance and development of toll roads in Slovenia. Transportation demand is even more responsive to changes in fuel price than changes in tolls, so transportation policy can manage transportation demand using differences in fuel prices. Based on estimates of demand models differentiated according to several geographical groups of road sections, we also find that growth in the price elasticity of transportation demand in Slovenia can be achieved through the expansion of the transport supply by increasing the competitiveness of rail transport and alternative transportation routes.     

Job Creation, Job Destruction, and the International Division of Labor

The authors incorporate equilibrium unemployment due to imperfect matching into a model of trade in intermediate inputs. Firms are assumed to be price‐takers and their size is given by technology. Firms enter the market as long as expected profits cover the search cost they incur initially; jobs are endogenously destroyed by random shocks that affect firms’ price–cost margins. Trade increases productivity in the final good and then demand for each intermediate input. Steady‐state unemployment is reduced after trade integration because the rate of job destruction is reduced, which in turn induces an indirect positive effect on job creation. A more volatile environment faced by firms does not necessarily increase unemployment. However, the rate of job destruction unambiguously rises, and rises more under free trade.     

An analysis of asymmetric demand response to price changes: The case of local telephone calls

Asymmetric demand responses to price changes are not an observable implication of classical demand theory, which predicts that consumers will react to a small price increase in much the same way as they do to a small price decrease. Yet applied researchers have long speculated that consumers are more sensitive to price increases than they are to price decreases. In addition, recent empirical studies generally support the theory of asymmetric demand responses. We construct a dynamic model based on data gathered from monthly telephone bills for 128 New York Telephone customers over a five-year period. Our results support the conclusion that customers react more quickly and strongly when prices go up than they do when prices go down.We would like to thank Manny Haas and Bernie Reddy for their comments and suggestions.     

Implications of CO<Subscript>2</Subscript> emissions trading for short-run electricity market outcomes in northwest Europe

We examine the short-run implications of CO₂ trading for power production, prices, emissions, and generator profits in northwest Europe in 2005. Simulation results from a transmission-constrained oligopoly model are compared with theoretical analyses to quantify price increases and windfall profits earned by generators. The analyses indicate that the rates at which CO₂ costs are passed through to wholesale prices are affected by market competitiveness, merit order changes, and elasticities of demand and supply. Emissions trading results in large windfall profits, much but not all of which is due to free allocation of allowances. Profits also increase for some generators because their generation mix has low emissions, and so they benefit from electricity price increases. Most emission reductions appear to be due to demand response not generation redispatch.      

A DYNAMIC MODEL OF HOUSING DEMAND: ESTIMATION AND POLICY IMPLICATIONS*

Using data from the PSID, we estimate a dynamic model of housing demand with nonconvex adjustment costs, credit constraints, and uncertainty about income and home prices. We simulate how consumer behavior responds to house price and income declines as well as tightening credit. In response to a negative home price shock, households early in the life cycle climb the housing ladder more quickly and invest more in housing assets due to the lower price. With a concurrent negative income shock, however, housing demand falls among young and middle aged households who stay in smaller homes rather than to trade up.     

Disentangling supply and demand shifts: the impacts on world salmon price

To understand price changes, one must determine the relative impact of supply and demand shifts on price. Conditional on predetermined supply and demand elasticities, we retrieve yearly shifts in regional supply and demand. The relative impact on price from each supply and demand shift is determined through an equilibrium displacement model (EDM). This procedure is applied on a yearly basis for the world salmon market in the period 2002 to 2011. The results indicate a large variation in demand and supply growth both over time and between regions. While average annual price impacts from supply or demand shifts from most regions are not statistically significant, price impacts from supply or demand shifts for specific periods are detected in all but one region. This indicates that the use of smooth trend indicators is likely to be inappropriate for measuring supply and demand shifts and their impacts on price. The procedure presented in this article can be a useful instrument for determining the relative impacts of supply and demand shifts on price in any market with unstable price behaviour.     

品牌经济学的理论基础——引入品牌的需求曲线及其经济学分析

需求定律是经济学分析的理论基础之一,品牌经济学的理论基础为引入品牌的需求曲线或考虑选择成本的需求定律。把品牌引入经济学中后,品牌信用度的提高使需求曲线右移并变得更为陡峭,同时品牌信用度的提高改变了需求曲线的位置,使得均衡价格提高,均衡数量增加,增加了消费者剩余和生产者剩余,提高了社会福利水平。文章为“品牌战”替代“价格战”提供了理论依据,即通过品牌建设提高品牌信用度,使得在价格提高的条件下需求量增加,而这只有在需求曲线改变位置时方能做到。     

Firms’ investment decisions in response to demand and price uncertainty

We investigate the effect of demand and price uncertainty on firms’ planned and realized investment from a panel of manufacturing firms. Uncertainty measures are derived from firms’ own expectations about demand and prices and firm's sales. We find that demand uncertainty at the time of planning depresses planned and subsequent realized investment. Firms do not revise their plans due to demand uncertainty at the time of spending, suggesting that reducing demand uncertainty will only have lagged effects on investment. We do not find any effect of price uncertainty. Our results are consistent with the behaviour of monopolistic firms with irreversible capital.     

Euro area,oil and global shocks: An empirical model-based analysis

We assess the impact of oil shocks on euro-area (EA) macroeconomic variables by estimating with Bayesian methods a two-country New Keynesian model of EA and rest of the world (RW). Oil price is determined according to supply and demand conditions in the world oil market. We obtain the following results. First, a 10% increase in the international price of oil generates an increase of about 0.1 annualized percentage points in EA consumer price inflation. Second, the same increase in the oil price generates a decrease in EA gross domestic product (GDP) of around 0.1% and a trade deficit, if it is due to negative oil supply or positive oil-specific demand shocks. Third, it generates a mild EA GDP increase and a trade surplus if due to a positive RW aggregate demand shock. Fourth, the increase in the oil price over the 2004–2008 period did not induce stagflationary effects on the EA economy because it was associated with positive RW aggregate demand shocks. The drop in RW aggregate demand contributes to explain the 2008 fall in oil prices, EA GDP and inflation.     

Asymptotic search behavior based on the Weibull distribution

Fixed sample size search rules are examined for the case of a small marginal cost of search. The asymptotic Weibull distribution of minimum price is used to derive the optimal number of searches for a large class of parent price distributions. It is shown that the asymptotic price elasticity of the demand for search is a negative rational number less than 1 in absolute value.     

Price adjustment in an atomistic market

This paper considers the price adjustment process in a market which retains the characteristics of a perfectly competitive market except that individual firms are price-setters. Buyers, unaware initially of what prices which firms are charging, indulge in search by contacting a sample of firms and buy (according to a demand curve) from the lowest-price firm encountered. Firms set prices to maximise profits over their perceived (or estimated) demand curve, and update their estimated demand curve in accordance with the observed change in demand between successive time periods. It is shown that the price distribution converges to a degenerate distribution centred on the monopoly price.     

Modelling price pressure in financial markets

We present experimental evidence that, unlike traditional assumptions in economic theory, security prices do not respond to pressure from their own excess demand. Instead, prices respond to excess demand of all securities, despite the absence of a direct link between markets. We propose a model of price pressure that explains these findings. In our model, agents set order prices that reflect the marginal valuation of desired future holdings, called “aspiration levels.”In the short run, as agents encounter difficulties executing their orders, they scale back their aspiration levels. Marginal valuations, order prices, and hence, transaction prices change correspondingly. The resulting price adjustment process coincides with the Global Newton Method. The assumptions of the model as well as its empirical implications are fully borne out by the data. Our model thus provides an economic foundation for why markets appear to search for equilibrium according to Newton’s procedure.     

PRICE DISPERSION AND DEMAND UNCERTAINTY: EVIDENCE FROM U.S. SCANNER DATA

I use the Prescott (1975) hotels model to explain variations in price dispersion across items sold by supermarkets in Chicago. The effect of uncertainty about aggregate demand on price dispersion is highly significant and quantitatively important: My estimates suggest that more than 40% of the cross‐sectional standard deviation of log prices is due to demand uncertainty. I also find that price dispersion measures are negatively correlated with the average price but are not negatively correlated with the revenues from selling the good (across stores and weeks) and with the number of stores that sell the good.