Based on data from the German Socio-Economic Panel (SOEP), we used a correlated random effects econometric framework to simultaneously estimate the within and between effects of age on subjective well-being. The proposed approach overcomes the ambiguity in the relationship between age and...

Since the early 1970s, it was argued that shifts from relatively smaller to larger youth cohorts in the labor force raise the unemploy- ment rate. In contrast, Shimer (2001) comes to a contrary conclusion using US state level data. I provide a theoretical framework for local labor markets that...

Previous literature has identified income, poor health and social relationships as the most important predictors of subjective well-being (SWB). In addition, the literature has identified a non-linear relationship between age and SWB, with a dip in SWB in mid-life. Explanations of the non-linear...

In our analysis we discuss several dynamic panel data estimators proposed in the literature and assess their performance in Monte Carlo simulations. It is a well known fact that the natural choice, the least squares dummy variable estimator is biased in the context of dynamic estimation. The...

The paper re-examines existing estimators for the panel data fixed effects ordered logit model, proposes a new one, and studies the sampling properties of these estimators in a series of Monte Carlo simulations. There are two main findings. First, we show that some of the estimators used in the...

The paper re-examines existing estimators for the panel data fixed effects ordered logit model, proposes a new one, and studies the sampling properties of these estimators in a series of Monte Carlo simulations. There are two main findings. First, we show that some of the estimators used in the...

This article questions the slope homogeneity in a gravity equation and proposes a partially heterogeneous framework for its estimation using panel data. We suggest to employ K-mean clustering to group countries according to the gravity equation variables. Further, the gravity model is estimated...

This paper examines the predictive power of different estimation approaches for reservation wages. It applies stochastic frontier models for employed workers and the approach from Kiefer and Neumann (1979b) for unemployed workers. Furthermore, the question of whether or not reservation wages...

This paper examines the factors determining variations in spatial rates of overeducation. A quantile regression model has been implemented on a sample of region-yearly data drawn from the EU Survey on Income and Living Conditions (EU-SILC) and several institutional and macroeconomic features...