An Analysis of the Out-of-Market Gap for DVDs in the U.S.

We examine the out-of-market gap – the time between the end of a film’s theatrical run and its release on DVD – for a sample of U.S. films during 1988-2005. The average gap declined from 58.14 days in 1998 to 27.93 days in 2005; by 2005, 39% of the films were released on DVD prior to leaving the theaters. Probit and hazard models are estimated to explore the factors that influence a distributor’s decision to release a film on DVD before it exits the theaters, and the timing of the release for films that appear on DVD after they leave the theaters.      

Broadcast Advertising and U.S. Demand for Alcoholic Beverages

Quarterly data for 1977-1994 on alcohol consumption and advertising are used to estimate a differential demand system, including explanatory variables for broadcast advertising and print advertising. The model explains the growth rate of per capita consumption dependent on explanatory variables for prices, real income, demographic changes, and real advertising by media and beverage. Empirical results also are reported for total consumption of pure alcohol. The results for the three beverages and total alcohol indicate that advertising has little or no effect on demand. The empirical evidence thus supports the notion that regardless of media, advertising affects mainly brand shares.     

Developing a Learning Community Approach to Business Ethics Education

In this paper we discuss a project, still in progress, that moves away from a traditional lecture based educational pedagogy. We present a team taught approach to ethics teaching that embraces a progressive philosophy of education and is focused on the development of a discussion based learning community. We describe our primary pedagogical tools of case discussion and the development of student expert role assignments as a locus, and how they relate to the learning community, course content and course objectives. Finally, we provide our preliminary review of outcomes and emerging issues.     

Bias Reduction in Dynamic Panel Data Models by Common Recursive Mean Adjustment*

The within‐group estimator (same as the least squares dummy variable estimator) of the dominant root in dynamic panel regression is known to be biased downwards. This article studies recursive mean adjustment (RMA) as a strategy to reduce this bias for AR(p) processes that may exhibit cross‐sectional dependence. Asymptotic properties for N,T→∞ jointly are developed. When ( log ²T)(N/T)→ζ, where ζ is a non‐zero constant, the estimator exhibits nearly negligible inconsistency. Simulation experiments demonstrate that the RMA estimator performs well in terms of reducing bias, variance and mean square error both when error terms are cross‐sectionally independent and when they are not. RMA dominates comparable estimators when T is small and/or when the underlying process is persistent.