An experimental test of brand insulation against competitor attacks: Effects of consumer heterogeneity and residual desire

Price discounts generally move consumers from lower‐quality brands to higher‐quality brands more than from higher‐quality brands to lower‐quality brands. This asymmetry can reverse, however, to favor the lower‐quality brand when improvements are made to product quality. Whether such variations exist when the goal is to retain rather than steal customers remains untested and constitutes the focus of this study. Experimental results indicate that customer retention strategies tend to favor higher‐quality brands. Higherquality brands are able to retain customers by matching the form of the lower‐quality brand's attack (price reduction or quality improvement). For lower‐quality brands, matching is effective only in the case of a price attack by a higher‐quality brand. Furthermore, higher‐quality brands are able to effectively retain customers with price reductions that are smaller than the discount offered by a lower‐quality competitor, whereas lower‐quality brands must match the magnitude of a discount by a higher‐quality brand to retain customers. The findings suggest that differences in customer retention across quality levels arise from (1) heterogeneity among consumers of different quality levels in the relative weightings of price and quality, and (2) switching decisions based on reasons that are biased toward continuing to purchase, or moving to, higher quality products. © 2008 Wiley Periodicals, Inc.     

The scheduling and organization of periodic associative computation: Essential networks

This paper defines and characterizes essential decentralized networks for calculating the associative aggregate of one or more cohorts of data. A network is essential if it is not possible to eliminate an instruction or manager and still calulate the aggregate of each cohort. We show that for essential networks, the graphs that depict the operations and data dependencies are trees or forests. These results assist in the characterization of efficient networks. Received: 15 October 1994 / Accepted: 6 March 1997     

Schumpeter's ghost: Is hypercompetition making the best of times shorter?

At the center of Schumpeter's theory of competitive behavior is the assertion that competitive advantage will become increasingly more difficult to sustain in a wide range of industries. More recently, this assertion has resurfaced in the notion of hypercompetition. This research examines two large longitudinal samples of firms to discover which industries, if any, exhibit performance that is consonant with Schumpeterian theory and the assertions of hypercompetition. We find support for the argument that over time competitive advantage has become significantly harder to sustain and, further, that the phenomenon is limited neither to high‐technology industries nor to manufacturing industries but is seen across a broad range of industries. We also find evidence that sustained competitive advantage is increasingly a matter not of a single advantage maintained over time but more a matter of concatenating over time a sequence of advantages. Copyright © 2005 John Wiley & Sons, Ltd.     

Demand under product differentiation: an empirical analysis of the US wine market*

Oversupply has led to a number of perplexities for the Australian wine industry in recent times. When disaggregated from the industry level, however, the problem can be better described as a range of attribute‐specific disequilibria. To date, the solutions to this problem have predominantly revolved around supply‐side policies of reducing output through crop thinning or vine pulling. By contrast, this paper focuses on the demand side and argues that the disequilibria may be reduced by gaining a better understanding of the demand for Australian wine. A discrete choice model of product differentiation is used to estimate the demand for wine in Australia's second largest export market, the United States. Implications of the analysis are explored.     

Spurious Regressions in Financial Economics?

Even though stock returns are not highly autocorrelated, there is a spurious regression bias in predictive regressions for stock returns related to the classic studies of Yule (1926) and Granger and Newbold (1974) . Data mining for predictor variables interacts with spurious regression bias. The two effects reinforce each other, because more highly persistent series are more likely to be found significant in the search for predictor variables. Our simulations suggest that many of the regressions in the literature, based on individual predictor variables, may be spurious.     

More on money as a medium of exchange

Summary We extend the analysis of Kiyotaki and Wright, who study economies where the commodities that serve as media of exchange (or, commodity money) are determined endogenously. Kiyotaki and Wright consider only steady-state, pure-strategy equilibria; here we allow dynamic and mixed-strategy equilibria. We demonstrate that symmetric, steady-state equilibria in mixed-strategies always exist, while sometimes no such equilibria exist in pure-strategies. We prove that the number of symmetric steady-state equilibria is generically finite. We also show, however, that for some parameter values there exists a continuum of dynamic equilibria. Further, some equilibria display cycles.We thank the National Science Foundation and the University of Pennsylvania Research Foundation for financial support, as well as seminar participants at Stanford University, the London School of Economics, the Econometric Society World Congress in Barcelona, and the Conference on Monetary Theory and Financial Institutions at the Federal Reserve Bank of Minneapolis for their comments or suggestions. Alberto Trejos provided research assistance. The views expressed here are those of the authors and not necessarily those of the Federal Reserve Bank of Minneapolis or the Federal Reserve System.     

Determinants of Land Use in Amazônia: A Fine-Scale Spatial Analysis

Wetter areas of the Amazon basin exhibit lower rates of agricultural conversion. Previous analyses, using relatively aggregate data on land cover, have been unable to determine the extent to which this reflects limited access versus unfavorable agroclimatic conditions. This article uses census-tract level data for the Brazilian Amazon to relate forest conversion and pasture productivity to precipitation, soil quality, infrastructure and market access, proximity to past conversion, and protection status. The probability that land is used for agriculture or intensively stocked with cattle declines markedly with increasing rainfall, other things equal.