Recent research in international economics highlights the role of interdependencies of investment decisions and sales of multinational firms. Previous work focused on and provided evidence for aggregate flows or stocks of foreign direct investment, showing that interdependence declines in...

Recent research in international economics highlights the role of interdependencies of investment decisions and sales of multinational firms. Previous work focused on and provided evidence for aggregate flows or stocks of foreign direct investment, showing that interdependence declines in...

This paper undertakes an empirical analysis of the adoption of various components of social security systems as well as contribution rates. Apart from economic determinants of the adoption, the empirical analysis features determinants relating to countries' political systems and contagion. We...

This paper undertakes an empirical analysis of the adoption of various components of social security systems as well as contribution rates. Apart from economic determinants of the adoption, the empirical analysis features determinants relating to countries' political systems and contagion. We...

This paper undertakes a Monte Carlo study to compare MLE-based and GMM-based tests regarding the spatial autocorrelation coefficient of the error term in a Cliff and Ord type model. The main finding is that a Wald-test based on GMM estimation as derived by Kelejian and Prucha (2005a) performs...

This paper analyzes to which extent foreign plant ownership involves lower tax payments than domestic plant ownership. We employ a model of endogenous foreign subsidiary ownership to derive a set of empirically testable hypotheses about the differential taxation of foreign- and...

We adopt a spatial econometric approach to estimate intra- and inter-industry productivity spillovers in total factor productivity transmitted through input-output relations in a sample of 13 OECD countries and 15 manufacturing industries. Both R&D spillovers as well as remainder,...

This paper presents a generalized moments (GM) approach to estimating an R-th order spatial regressive process in a panel data error component model. We derive moment conditions to estimate the parameters of the higher order spatial regressive process and the optimal weighting matrix required to...

This paper generalizes the approach to estimating a first-order spatial autoregressive model with spatial autoregressive disturbances (SARAR(1,1)) in a cross-section with heteroskedastic innovations by Kelejian and Prucha (2008) to the case of spatial autoregressive models with spatial...