We consider estimating binary response models on an unbalanced panel, where the outcome of the dependent variable may be missing due to non-random selection, or there is self selection into a treatment. In the present paper, we first consider estimation of sample selection models and treatment...

Many empirical studies have found a positive association between economic development and democracy survival across countries; however, establishing a causal link between the two with naturally occurring data is problematic. We address this question in a laboratory experiment with democracy...

Does gender equality in the workplace have consequences for job satisfaction? We use data collected from workers in six formerly socialist economies (Armenia, Azerbaijan, Kazakhstan, Kyrgyzstan, Russia, and Serbia) to investigate the link between the perceived chance that a woman would hold a...

We consider estimation of panel data models with sample selection when the equation of interest contains endogenous explanatory variables as well as unobserved heterogeneity. We offer a detailed analysis of the pooled two-stage least squares (pooled 2SLS) and fixed effects-2SLS (FE-2SLS)...

We utilize data collected from over 9,400 employees in five formerly socialist economies to contribute to the ongoing debate on whether significant gender differences in job satisfaction emerge in different cultural environments, focusing specifically on the relationship between job satisfaction...

Using data collected from over 9,400 employees in Armenia, Kazakhstan, Kyrgyzstan, Russia, and Serbia, across a wide variety of workplaces and sectors, we identify the extrinsic and intrinsic rewards that workers desire, and the desirability of rewards they expect to receive. We use regression...

We use data from an employee survey conducted in Russia, Armenia and Kazakhstan to investigate how much of the gender difference in pay in former socialist economies can be explained by personality. We consider a commonly used personality measure, locus of control (LOC), and find that among the...