Learning by doing,spillovers and shakeouts

This paper studies industry evolution driven by non strategic learning by doing and spillovers. We characterize a dynamic process of cost and output changes and its effect on welfare and industry profits. The paper gives conditions for shakeouts to occur and analyzes the key factors affecting these conditions. Since shakeouts could lead to a long-run social loss due to higher market concentration, there is a role for a government to play in limiting unnecessary shakeouts. The most effective way to do so is to enhance spillovers.JEL Classification: L11, L13, O31Correspondence to: Michael TroegeWe would like to thank Hans Mewis, Christophe Moussu and an anonymous referee for valuable comments and suggestions. We also benefited from comments of seminar participants at WZB, Humboldt University, Northwestern University and the EEA/ESEM 1999 meetings. Part of the research was carried out while Michael Tröge was visiting Northwestern University. Financial support by the German Research Council (DFG) is gratefully acknowledged.     

Timing of Public Information and Cost Reduction

Received July 31, 2000; revised version received July 18, 2001     

Sample attrition and labor force dynamics: Evidence from the Spanish labor force survey

In this paper we examine a number of issues that arise in investigating labor force dynamics using the Spanish Labor Force Survey (EPA). These issues are by no means specific to the Spanish case and apply to most European-style labor force surveys. Our main conclusions may be summarized as follows. First, survey nonresponse cannot be neglected. Second, the EPA tends to underestimate employment and participation of high-educated young people, and to overestimate those of the low-educated elderly. Finally, we find little evidence that attrition causes important selection biases in estimating quarterly transition probabilities.     

The Relevance of Western Corporate Governance in Mitigating Management Misconduct in Thailand

This article provides empirical evidence on the relevance of structures central to Western models of corporate governance in mitigating management misconduct in Thailand. We find no evidence supporting the effectiveness of Western-based corporate governance structures such as board independence, audit committee effectiveness, and separating the roles of CEO and Board Chair in limiting management misconduct. However, we do find evidence supportive of independent directors with more experience and longer tenure, the presence of institutional ownership, and concentrated controlling ownership in limiting management misconduct. This provides some support for the validity of resource dependency theory in an emerging economy setting.     

An Alternative Approach to the Measurement of Emotional Attachment

Emotional attachment (EA)—the emotional bond connecting an individual with a specific target—has been identified as an important construct within the marketing domain. Despite all the research, there is no consensus on how the construct should be measured. A major factor contributing to this confusion is that current definitions and, consequently, scales of EA focus on describing reactions toward specific referents of attachment rather than on capturing the extent of emotion an individual feels; hence, hindering construct validity. In this article, the authors scrutinized the concept validity of EA. After defining the construct, scale development procedures were followed to propose an alternative one‐dimensional scale that reflects the abstract nature of EA. Three studies support the scale's reliability as well as the discriminant, convergent, criterion, and nomological validity of the measure. The studies tested the scale under different marketing contexts. Moreover, by employing the new measure, the findings showed that EA and self‐concept maintenance (SCM) are related, yet different constructs. Specifically, the results showed that these constructs interact to predict willingness to pay (WTP) for a brand such that when SCM is low, WTP is predicted by EA. However, when self‐concept is high, the effect of EA on WTP is not that strong. This new scale will help researchers extend research on EA to a broader set of contexts, explore the relationship between EA and related constructs, develop nomological networks, and prevent the confounding of terms.     

Testing for the bivariate Poisson distribution

This paper studies goodness-of-fit tests for the bivariate Poisson distribution. Specifically, we propose and study several Cramér–von Mises type tests based on the empirical probability generating function. They are consistent against fixed alternatives for adequate choices of the weight function involved in their definition. They are also able to detect local alternatives converging to the null at a certain rate. The bootstrap can be used to consistently estimate the null distribution of the test statistics. A simulation study investigates the goodness of the bootstrap approximation and compares their powers for finite sample sizes. Extensions for testing goodness-of-fit for the multivariate Poisson distribution are also discussed.