This paper revisits the competition-innovation relationship using an unbalanced panel of enterprise data stemming from four waves of the Luxembourgish innovation survey for the period 2002-2010. We estimate by full-information maximum likelihood a nonlinear dynamic simultaneous-equations model with pseudo-fixed effects using four measures of perceived competition and three indicators of innovat...

The most popular econometric models in the panel data literature are the class of linear panel data models with unobserved individualand/or time-specific effects. The consistency of parameter estimators and the validity of their economic interpretations as marginal effects crucially depend on the correct functional form specification of the linear panel data model. Based on an individual-specif...

This article promotes the use of panel data methods in nowcasting. shifts focus literature from national to regional nowcasting variables like gross domestic product (GDP). We propose a mixed-frequency VAR model and bias-corrected least squares estimator which attenuates bias fixed effects dynamic settings. Simulations show that forecast selection combination are successfully adapted setting. O...

In this article we examine the effects of undesirable outputs on the Malmquist TFP indices. Our empirical work uses an unbalanced panel which covers 796 utility and non-utility coal-fired power plants in China during 1996-2002. In order to meet the requirement of a balanced panel for calculating the Malmquist indices, an innovative fake unit approach has been introduced. Our final results show ...

Due to the lack of consistent data, direct and robust comparisons of cross-country labour markets have been virtually impossible. This study uses a new panel data series that controls for inconsistencies, thus overcoming this problem. This study estimates gender wage differentials and gender discrimination in the German and United Kingdom labour markets. Panel estimates are used to identify gen...