To date, empirical investigations of trade liberalization under the conditions of increasing returns to scale (IRS) and imperfect competition (IC) have either assumed or imposed the market and productive structures necessary for such a model. However, of the recent IRS/IC models used to simulate...

Economic analysis is used to compare different paradigms for understanding the marketplace for religions and religious ideas. The "Sacred Canopy" paradigm views it necessary for social stability to grant monopoly power to an official state religion. The "New Paradigm" views separation of Church...

The order of actions in contests may generate different psychological effects which, in turn, may influence contestants' probabilities to win. The Prouhet-Thue-Morse sequence in which the first 'n' moves is the exact mirror image of the next 'n' moves should theoretically terminate any advantage...

We examine the hypothesis that flexible work organization involves greater skill requirements and, hence, an increased likelihood of receiving employer provided training. Using unique linked employer-employee data from Germany, we confirm that employees are more likely to receive training when...

Using German establishment data, this paper examines the relationship between product market competition and the extent of employer provided training. We demonstrate that high product market competition is associated with increased training except when the competition is so severe as to threaten...

This paper analyzes wage decomposition methodology in the context of panel data sample selection embedded in a correlated random effects setting. Identification issues unique to panel data are examined for their implications for wage decompositions. As an empirical example, we apply our...

Cultural diversity - in various forms - has in recent years turned into a prominent and relevant research and policy issue. There is an avalanche of studies across many disciplines that measure and analyse cultural diversity and its impacts. Based on different perspectives and features of the...

Meta-analytic methods have been widely applied to education, medicine, and the social sciences. Much of meta-analytic data are hierarchically structured since effect size estimates are nested within studies, and in turn studies can be nested within level-3 units such as laboratories or...

This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...

Multilevel models are widely used in education and social science research. However, the effects of omitting levels of the hierarchy on the variance decomposition and the clustering effects have not been well documented. This paper discusses how omitting one level in three-level models affects...