The contribution of this paper is to analyse the role of network interdependencies in a dynamic panel data model for German internal migration fl ows since re-unifi cation. So far, a capacious account of spatial patterns in German migration data is still missing in the empirical literature. In the context of this paper, network dependencies are associated with correlations of migration fl ows s...

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...

This study offers a unique contribution to the literature by investigating the convergence of province-level carbon dioxide emission intensity among a panel of 30 provinces in China over the period 1990-2010. We use a novel, spatial dynamic panel data model to test the hypotheses of absolute beta convergence and conditional beta convergence. Our results suggest: (1) CO2 emission intensities are...

Using mariculture data from China’s nine coastal provinces from 2003 to 2015, this paper first evaluates the technical efficiency through data envelopment analysis (DEA). Then, this paper analyses the spatial spillover effect of technical efficiency and its influencing factors with a spatial panel Durbin model (SDM). The results indicate that there are obvious regional differences in the techni...

Relying on cross-country data, empirical studies have pointed at external wars as engines for the development of a state’s capacity, and at internal conflicts as having the opposite effect. Concerns about possible reverse causality driving these results emerge, as the cross-sectional approach ignores the role of initial conditions and the persistence of state capacity. This paper re-examines th...

Issues of spatial dependence have arisen in several areas of research, such as the environmental sciences, economics and sociology, but may be more generally relevant in circumstances in which cross-sectional or panel data are collected. Book-length descriptions statistical methods of analyzing spatial data include Cliff and Ord (1981), Anselin (1988), Haining (1990), Cressie (1993), Guyon (199...

The contribution of this paper is to analyse the role of network interdependencies in a dynamic panel data model for German internal migration fl ows since re-unifi cation. So far, a capacious account of spatial patterns in German migration data is still missing in the empirical literature. In the context of this paper, network dependencies are associated with correlations of migration fl ows s...

This paper investigates the precision of parameters estimated from local samples of time dependent functions. We find that time delay embedding, i.e., structuring data prior to analysis by constructing a data matrix of overlapping samples, increases the precision of parameter estimates and in turn statistical power compared to standard independent rows of panel data. We show that the reason for...