A Study of Property Valuations in Relation to Market Prices and the Characteristics of Properties*

Using data on some 1400 properties in Sydney, Australia, the paper examines the extent to which valuations reflect market prices and the characteristics of properties. Valuations of houses are found to be poorly related to market prices. Furthermore, although valuations of houses can be explained in terms of property characteristics, they are found to be less sensitive than market prices to variations in these characteristics. Land valuations are also analyzed and it is shown that these can be explained in terms of ‘land’ characteristics including environmental factors. The paper concludes that quantitative models relating valuations to the characteristics of properties could reduce the often arbitrary nature of the valuation process.     

Position-Dependent order effects on the prediction of consumer preferences in repeated choice experiments

Using stated choice data collected by experimental design with repeated choice tasks, this study developed an approach to quantify the position-dependent order effects on the prediction of preferences and marginal willingness to pay for product attributes. Results showed that repeated choice tasks allow learning to occur. Models with order effect adjustments showed significant improvements in goodness of fit. Attribute-specific polynomial trends showed the best fit among all models, which could possibly be explained by respondents’ familiarity and sensitivity to different product attributes. Repeated-choice experiments have a good potential to capture consumer preferences more accurately than the single-choice design. But order effects need to be taken into account for preferences and market prediction.     

Market structure and market performance in E-commerce

We analyze the interaction between market structure and market performance and how it varies over the product cycle. To account for the potential endogeneity in this relation, we use an instrumental variable approach. We combine data from the largest Austrian online market for price comparisons with retail data on wholesale prices provided by a major hardware producer for consumer electronics. Our results show that instrumenting is important for estimating the empirical effect of competition on the markup of the price leader. One more firm in the market is associated with a reduction of the price leader׳s markup which is equivalent to competition between existing firms for an additional 3 weeks in the product life cycle. Our results support search theoretic models and contradict models of monopolistic competition. Moreover our results support the existence of price dynamics over the product cycle. They also highlight the substitutability between newly innovated and old expiring technologies and how it varies with respect to competitors׳ and own brand innovations.     

Returns to product promotion when consumers are learning how to consume

This paper presents a computational model of consumer behavior. We consider two sources of product-specific consumer skill acquisition: learning by consuming and consumer socialization. Consumers utilize these two sources in order to derive higher valuations for products they consume. In this framework, we discuss the behavior of returns to advertising relative to changes in product characteristics, such as quality and user-friendliness. The main finding is that, in the case of duopoly, dependence of returns to advertising on product quality is not monotonic as had been suggested by earlier studies. Rather, returns have an inverted U shape, given the quality of the competing product.     

Countercyclical pricing: A consumer heterogeneity explanation

We show that a seasonal good could be priced countercyclically due to the heterogeneous seasonal shifts in consumer valuations. We provide empirical support for our explanation based on two product categories (canned soup and tuna) studied in the literature.     

VEHICLE CHOICE BEHAVIOR AND THE DECLINING MARKET SHARE OF U.S. AUTOMAKERS*

We develop a consumer‐level model of vehicle choice to shed light on the erosion of the U.S. automobile manufacturers' market share during the past decade. We examine the influence of vehicle attributes, brand loyalty, product line characteristics, and dealerships. We find that nearly all of the loss in market share for U.S. manufacturers can be explained by changes in basic vehicle attributes, namely: price, size, power, operating cost, transmission type, reliability, and body type. U.S. manufacturers have improved their vehicles' attributes but not as much as Japanese and European manufacturers have improved the attributes of their vehicles.     

The Nonparametric Approach to Applied Welfare Analysis

Changes in total surplus are traditional measures of economic welfare. We propose necessary and sufficient conditions for rationalizing individual and aggregate consumer demand data with individual quasilinear and homothetic utility functions. Under these conditions, consumer surplus is a valid measure of consumer welfare. For nonmarketed goods, we propose necessary and sufficient conditions on input market data for efficient production, i.e. production at minimum cost. Under these conditions we derive a cost function for the nonmarketed good, where producer surplus is the area above the marginal cost curve. We are greatful to helpful remarks and comments of the referees and the editor. The work is partially supported by the Spanish Ministry of Science and Technology, through Grant BEC2002-2130, the Generalitat de Catlaunya, through Grant 2005SGR-00454 and the Barcelona Economics Program (CREA).     

Niche products, generic products, and consumer search

We endogenize product design in a model of sequential search with random firm-consumer match value à la Wolinsky (Quart J Econ 96:493–511, 1986) and Anderson and Renault (RAND J Econ 30:719–735, 1999). We focus on a product design choice by which a firm can control the dispersion of consumer valuations for its product; we interpret low-dispersion products as “generic” and high-dispersion products as “nichy.” Equilibrium product design depends on a feedback loop: when reservation utility is high (low), the marginal customer’s match improves (worsens) with more nichy products, encouraging high (low) differentiation by firms. In turn, when firms offer more nichy products, this induces more intense search; depending on search costs, this could raise or lower consumers’ reservation utility. Remarkably, when the match distribution satisfies a hazard rate condition, firm and consumer interests align: equilibrium product design always adjusts to the level that maximizes utility. When this condition is not met, either multiple equilibria (one nichy, the other generic) or one asymmetric equilibrium (generic and nichy firms coexist) can arise; we argue that the former is more likely for common specifications of consumer preferences.     

Privatization when the public firm is as efficient as private firms

The literature on mixed oligopoly shows that when production costs are quadratic the public firm is privatized if the competition in the product market is high enough. Similarly, when the public firm is less efficient than private firms and the marginal costs of production are constant, the government privatizes the public firm if its efficiency is low enough. In this paper we analyze this issue assuming that the public firm maximizes the weighted sum of consumer surplus, private profit and the profit of the public firm. If all firms have the same marginal cost of production we obtain that for some value of parameters the government does not privatize the public firm regardless of how many private firms are competing in the product market. We also obtain that the consumer surplus can be lower in the mixed oligopoly than in the private oligopoly.     

Forecasting demand for a newly introduced product using reservation price data and Bayesian updating

Forecasting demand during the early stages of a product's life cycle is a difficult but essential task for the purposes of marketing and policymaking. This paper introduces a procedure to derive accurate forecasts for newly introduced products for which limited data are available. We begin with the assumption that the consumer reservation price is related to the timing with which the consumer adopts the product. The model is estimated using reservation price data derived through a consumer survey, and the forecast is updated with sales data as they become available using Bayes's rule. The proposed model's forecasting performance is compared with that of benchmark models (i.e., Bass model, logistic growth model, and a Bayesian model based on analogy) using 23 quarters' worth of data on South Korea's broadband Internet services market. The proposed model outperforms all benchmark models in both prelaunch and postlaunch forecasting tests, supporting the thesis that consumer reservation price can be used to forecast demand for a new product before or shortly after product launch.     

Buying Online: An Analysis of Shopbot Visitors

Abstract. We conduct an empirical study on the search and purchasing behavior of buyers on an Austrian price comparison site. On such a market a consumer typically searches for the cheapest price of a given product. Reliability and service of the supplier, however, are other important characteristics of an offer. We find robust evidence of consumer behavior that can be described as a two‐stage procedure: shoppers first select a group of candidate offers based on the price only; then, in the actual buying decision consumers tradeoff a lower price with higher reliability of the retailer.     

The empirical content of Cournot competition

We consider the testable implications of the Cournot model of market competition. Our approach is nonparametric in the sense that we abstain from imposing any functional specification on market demand and firm cost functions. We derive necessary and sufficient conditions for (reduced form) equilibrium market price and quantity functions to be consistent with the Cournot model. In addition, we present identification results for the corresponding inverse market demand function and the firm cost functions. Finally, we use our approach to derive testable restrictions for the models of perfect competition, collusion and conjectural variations. This identifies the conditions under which these different models are empirically distinguishable from the Cournot model. We also investigate empirical issues (measurement error and omitted variables) related to bringing our testable restrictions to data.     

Endogenous product versus process innovation and a firm’s propensity to export

This article provides an empirical analysis of the effects of new product versus process innovations on export propensity at the firm level. Product innovation is a key factor for successful market entry in models of creative destruction and Schumpeterian growth. Process innovation helps securing a firm’s market position given the characteristics of its product supply. Both modes of innovation are expected to raise a firm’s propensity to export. According to new trade theory, we conjecture that product innovation is relatively more important in that regard. We investigate these hypotheses in a rich survey panel data set with information about new innovations of either type. With a set of indicators regarding innovation motives and impediments and continuous variables at the firm and industry level at hand, we may determine the probability of launching new innovations and their impact on export propensity at the firm level through a double treatment approach.     

Allocating multiple units

Summary. This paper studies the allocation and rent distribution in multi-unit, combinatorial-bid auctions under complete information. We focus on the natural multi-unit analogue of the first-price auction, where buyers bid total payments, pay their bids, and where the seller allocates goods to maximize his revenue. While there are many equilibria in this auction, only efficient equilibria remain when the truthful equilibrium restriction of the menu-auction literature is used. Focusing on these equilibria we first show that the first-price auction just described is revenue and outcome equivalent to a Vickrey auction, which is the multi unit analogue of a second-price auction. Furthermore, we characterize these equilibria when valuations take a number of different forms: diminishing marginal valuations, increasing average valuations, and marginal valuations with single turning points. Received: December 23, 1999; revised version: December 10, 2001     

Multi‐product exporters,variable markups and exchange rate fluctuations

In this paper we investigate how firms adjust markups across products in response to fluctuations in the real exchange rate. We estimate markups at the market–product–plant level using detailed panel production and cost data from Mexican manufacturing between 1994 and 2007. Exploiting variation in the real exchange rate in the aftermath of the peso crisis in December 1994, we provide robust empirical evidence that plants increase their markups and producer prices in response to a real depreciation and that this increase is greater for products with higher productivity. Thus, we provide direct evidence for the theoretical mechanism of variable markup response behind incomplete and heterogeneous exchange rate pass‐through on producer prices. Our empirical methodology allows us to decompose the producer price response to exchange rate shocks into a markup and a marginal cost component using our markup estimates. Using these estimates, we establish that marginal cost at the product–plant level increases more in response to real exchange rate depreciation if the plant has higher share of imported inputs.     

Estimating exact hedonic indexes: An application to UK television sets

Much attention has been given to the estimation of hedonic regressions given their potential use as a means to adjust consumer and producer price indices for quality changes. However, there has been warranted criticism over the methods used, particularly relating to the econometric specification of the models. Much of the criticism has arisen from the inability of available data to match the requirements of a fully specified model. Using EPOS scanner data for UK television sets we provide reliable hedonic estimates which incorporate several developments. Such data are available for a wide range of product areas and this application illustrates how they might be used. We develop methodology to help surmount problems arising from omitted variables, the coexistence of new and old models, weighting of observations and quality changes common to all models. More specifically we pay particular attention to the neglected area of product markets where pricing is above marginal cost.     

Multi-Sector Model of Tradable Emission Permits

This paper presents a multi-sector model of tradable emission permits, which includes oligopolistic and perfectly competitive industries. The firms in oligopolistic industries are assumed to exercise market power in the tradable permit market as well as in the product market. Specifically, we examine the effects of the initial permit allocation on the equilibrium outcomes, focusing on the interaction among these product and permit markets. It is shown that raising the number of initial permits allocated to one firm in an oligopolistic industry increases the output produced by that firm. Under certain conditions, raising a “clean” (less-polluting) firm’s share of the initial permits can lead to reductions in both the product and permit prices. We discuss criteria for the socially optimal allocation of initial permits, considering the trade-off between production inefficiency and consumer benefit.     

Empirical Inference with Equilibrium Search Models of the Labour Market

This paper examines the use of equilibrium search models in the empirical analysis of labour markets. We survey the literature on structural estimation of these models with micro data on wages and durations, and we discuss the advantages of this approach for policy analysis and for obtaining a better understanding of the labour market. During the past ten years, substantial progress has been made in terms of the explanatory power of these models. We finish with a critical examination of the extent to which the approach can be fruitfully applied to (matched worker-) firm data.     

Estimating the economic costs of electricity deficit using input–output analysis: the case of Brazil

The objective of this article is to present a methodology to estimate the marginal cost of electric energy deficit in the long-term using input–output (I–O) analysis. We obtain a deficit marginal cost (DMC) curve that is not limited to a small number of levels, such as the curve used currently in Brazil, which is limited to four levels. The marginal cost of deficit is an important exogenous parameter used in the model’s chain to calculate the operation’s marginal cost and short-term market pricing. The electric energy deficit is a temporary lack of continuity in meeting demand, which is usually predictable and involves prior notice to the consumer. The cause of this deficit may be a lack of investment and/or low water inflows that impact the production of hydroelectric power plants. In this study, the marginal cost of the deficit is obtained from restrictions on the provision of electricity for productive sectors and by calculating the corresponding impact on the gross domestic product. The proposed methodology can be used with data from the I–O matrix of any country to estimate its marginal cost of electric energy deficit.