The Impact of Mergers on Quality Provision: Evidence from the Airline Industry

We examine how mergers affect quality provision by analyzing five U.S. airline mergers, focusing on on‐time performance (OTP). We find that airline mergers have minimal negative impacts on OTP, and likely result in long‐run improvements due to efficiencies. Importantly, we show that this finding is not driven by post‐merger changes in price that could affect OTP. Consequently, at least in the case of airlines, policymakers should not, as a rule, fear the negative quality effects of mergers.     

Common Values and Low Reserve Prices

I show that the benefit of a high reserve price in a common‐values ascending auction is lower than in the observationally equivalent private values setting. Put another way, when bidders have common values, empirical estimation based on a private‐values model will overstate the value of a high reserve price. Via numerical examples, I show this same ranking typically applies to the level of the optimal reserve price as well, and often to the benefit of any reserve price, not just high ones. With common values, the optimal reserve can even be below the seller's valuation, which is impossible with private values.     

Online RPM and MFN Under Antitrust Law and Economics

The legal framing of a firm’s pricing strategy can determine whether it constitutes online resale price maintenance (RPM) or online most favored nation (MFN). Together, cases that involve online RPM and MFN can be viewed as a natural experiment of how antitrust economics and law may adapt to an online world. Thus far, legal theories that have been inconsistent with economic theories have dictated enforcement across jurisdictions, which has led to confusion that thwarts potentially efficient business practices. This paper distinguishes issues of online RPM from traditional RPM and online RPM from online MFN. We apply the economics learning to RPM and analyze the antitrust cases of online RPM and MFN to date in the United States, Europe, and Australia. Finally, we offer policy recommendations that reduce the confusion in current legal doctrine.     

“Step into the Real Texas”: Associating and claiming state narrative in advertising and tourism brochures

Texas is one of the most popular states for tourists. Using quantitative and primarily qualitative methods, we analyzed how marketers of small cities and towns associate their place to four central components of the Texas state narrative – the flag, official and unofficial symbols, territory, and social–historical mythology – in advertising and tourism brochures in the years 2008–2010. We discovered that in parallel to the overuse of the “associating to well-known brand/narrative” strategy, marketers also invest efforts toward claiming the narrative. Thus our second goal was to discover which techniques were used in order to claim the state narrative. Using the state of Texas as an example may provide a test case for typology, associating and claiming state narratives in promotional materials.     

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Estimating the Private Economic Benefits of Sons Versus Daughters in India

In order to understand the economic incentives behind gender discrimination in India, this paper provides the first estimates of the magnitude of the economic benefits of having a son instead of a daughter. The study estimates large gains from a first-born son to per capita income and expenditure, household assets, and a reduction in the probability the household is below the poverty line. Estimates show that a first-born son may provide economic advantages through a reduction in total children born and also from an adult son’s labor supply contribution to his parents’ household. The observed pattern of incentives is also compared with observed patterns in sex selection as a test of whether the relative economic value of first-born sons and daughters can explain the prevalence of sex-selective abortion.     

Tests of Hypotheses Arising In the Correlated Random Coefficient Model

This paper examines the correlated random coefficient model. It extends the analysis of Swamy (1971), who pioneered the uncorrelated random coefficient model in economics. We develop the properties of the correlated random coefficient model and derive a new representation of the variance of the instrumental variable estimator for that model. We develop tests of the validity of the correlated random coefficient model against the null hypothesis of the uncorrelated random coefficient model.     

A comparison of alternative approaches for determining the downside risk of hedge fund strategies

In this study, we compare a number of different approaches for determining the Value at Risk (VaR) and Expected Shortfall (ES) of hedge fund investment strategies. We compute VaR and ES through both model‐free and mean/variance and distribution model‐based methods. Certain specifications of the models that we considered can technically address the typical characteristics of hedge fund returns such as autocorrelation, asymmetry, fat tails, and time‐varying variances. We find that conditional mean/variance models coupled with appropriate assumptions on the empirical distribution can improve the prediction accuracy of VaR. In particular, we observed the highest prediction accuracy for the predictions of 1% VaR. We also find that the goodness of ES prediction models is primarily influenced by the distribution model rather than the mean/variance specification. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:244–269, 2009