This paper considers estimation methods and inference for linear dynamic panel data models with unit-specific heterogeneity and a short time dimension. In particular, we focus on the identification of the coefficients of time-invariant variables in a dynamic version of the Hausman and Taylor...

This paper considers estimation methods and inference for linear dynamic panel data models with unit-specific heterogeneity and a short time dimension. In particular, we focus on the identification of the coefficients of time-invariant variables in a dynamic version of the Hausman and Taylor...

The present work investigates the effect of institutional quality on Africa's underground economy, as well as the mechanisms that modulate this effect. Considering cross-sectional dependency between panels, this study considers data of 41 African countries from the period 1996 to 2017 and the...

This paper explores the effects of two main sources of innovation - intramural and external R&D - on the productivity level in a sample of 3,267 Catalan firms. The data set used is based on the official innovation survey of Catalonia which was a part of the Spanish sample of CIS4, covering the...

Although there exists a vast literature on convergence and divergence of income levels across countries or regions at the aggregate level, there is only little work on convergence and/or diver- gence processes of productivity and wage levels at the more disaggregated industrial level. These are...

This study investigates the efficiency growth of advanced technology-generating sectors within the European Union (EU). Using a stochastic frontier analysis of annual sector-level panel data from 2000 to 2019, we examine sectoral (NACE two-digit level) and territorial implications. Our findings...

GMM estimation of autoregressive panel data equations in error-ridden variables when the noise has memory, is considered. The impact of variation in the memory length in signal and noise spread and in the degree of individual heterogeneity are discussed with respect to finite sample bias, using...