We study the undeclared work patterns of Hungarian employees in relatively stable jobs, using a panel dataset that … 2001-2006. We estimate the determinants of undeclared work using Heckman-type random-effects panel probit models, and …

Standard panel unit root tests (PURTs) are not robust to breaks in innovation variances. Consequently, recent papers …

matched firm-worker panel data sample for French manufacturing, we find that the industry distributions of the rent …

step involves identifying the number and composition of clubs using a space-time panel data model for annual income growth … rates in conjunction with Bayesian model comparison methods. A second step uses a Bayesian space-time panel data model to …

employment performance than non-family controlled companies. Therefore, this study applies a treatment model for panel data using …

. [2014] analysis for Spain to the Italian case: we use a panel of manufacturing and service companies, thus enlarging the …

We study panel data estimators based on a discretization of unobserved heterogeneity when individual heterogeneity is …

The present paper studies the panel data auto regressive (PAR) time series model for testing the unit root hypothesis …

This study uses Monte Carlo experiments to produce new evidence on the performance of a wide range of panel data … previous study on the subject (Reed and Ye, Which panel data estimator should I use? 2011), and modifies their recommendations … efficiency, it uses the size of the panel dataset (N and T) to guide the researcher to the best estimator. When it comes to …