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...

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...

the paper presents an analysis of both energy intensity and energy demand for the italianindustrial sector. the aim of the paper is twofold: making a decomposition of energy intensity at the aggregate level and modeling energy demand at the firm level. the decomposition of energy intensity shows different patterns for the different sub-sectors in the period of interest. in the micro approach, p...

We argue that the welfare inferences drawn from answers to subjective-qualitative survey questions are clouded by concerns over the structure of measurement errors and how latent psychological factors influence observed respondent characteristics. We propose a panel data model that allows more robust tests and we estimate the model on a high-quality survey for Russia. We find significant income...