Regional economic policy faces the challenge of two competing policy goals - reducing regional economic disparities vs. promoting economic growth. The allocation of public funds has to weigh these goals particularly under the restriction of scarce financial resources. If, however, some region...

Accurate regional estimates of output are desired as an indicator of level of development and as a variable used to explain internal migration, demand patterns, fertility and other aspects of behaviour. This chapter explores one often neglected aspect of regional income differences, namely that...

This thesis considers a dynamic panel data model with error components that are correlated both spatially (cross-sectionally) and time-wise. The model extends the literature on dynamic panel data models with cross-sectionally independent error components. The model for spatial dependence is a...

The paper focuses on the importance of the assumptions made about market structure andfirm behaviors in empirical trade policy analysis. It addresses this issue with reference torecent changes in the EU import regime for bananas, namely the Economic PartnershipAgreements and the December 2009...

In this paper we explore spatial effects in a hedonic price function framework for a large sample of apartments in Moscow. We find strong evidence of both spatial lag and spatial autocorrelation. Our results are robust across both the spatial model specifications and the choice of the spatial...

Political parties strive for maximizing their vote shares. One way to achieve this goal is to attract voters from competitors. A precondition for strategies aiming at attracting these voters is that parties perceive their voter potentials among their rivals' electorates correctly. Yet, hardly...

What are the drivers of growth and convergence in productivity at regional level? Differences in the stock of human capital across regions are hypothesized to be the major cause of differences in the speed by which following regions converge and catch-up with the most advanced ones. In addition,...

This paper proposes a Bayesian estimation framework for panel-data sets with binary dependent variables where a large number of cross-sectional units is observed over a short period of time, and cross-sectional units are interdependent in more than a single network domain. The latter provides...

In this paper, we discuss estimation procedure and various inferential methods for varying coefficient panel data models that include spatially correlated error components. Our estimation procedure is an extension of the quasi-maximum likelihood method for spatial panel data regression to the...

This research analyses how tourists using digital sharing economy platforms have behaved in the European Union, whether there are differences between European regions and how they have evolved with the pandemic. Using spatial econometric techniques, this study provides a comparative analysis, in...