This paper studies the location choice of foreign multinational firms in the Baltic economies of Estonia, Latvia, and Lithuania using a knowledge-and-physical capital model across 2004-2017. We used the Bayesian model averaging estimation method to investigate a set of possible factors that...

This paper provides new evidence on the foreign direct investment stocks of German firms. We use firm-level data for the years 1990-2000 to describe the regional and sectoral patterns of German FDI through gravity-type equations. We provide evidence on the patterns of FDI by sector, by size of...

Globalization has affected the integration of markets through many different channels, including movements of factors and trade in goods. From a theoretical point of view, the interaction between the different channels of integration can take different forms. The aim of this paper is to analyze...

The growth of Foreign Direct Investment (FDI) in developing countries over the last decade has attracted an intense academic and policy-oriented interest for its determinants. Despite the gravity model being considered a useful tool to approximate bilateral FDI flows, the literature has seen a...

This paper exploits a recent and granular data set for 1,500 German LSIs to conduct a residential mortgage stress testing exercise. To account for model uncertainty when modeling PD dynamics we use a benchmark-constrained Bayesian model averaging approach that combines standard BMA with a...

Crinò and Epifani (2012) report and discuss two empirical regularities they find in a representative sample of Italian manufacturing firms. First, there is a negative correlation between firms' productivity and their export share to low-income destinations. Second, there is a negative...

We extend the standard approach to Bayesian forecast combination by forming the weights for the model averaged forecast from the predictive likelihood rather than the standard marginal likelihood. The use of predictive measures of fit offers greater protection against in-sample overfitting and...

We apply Bayesian Model Averaging and a frequentistic model space analysis to assess the pricing-determinants of credit default swaps (CDS). Our study focuses on the complete model space of plausible models covering most of the variables and specifications used elsewhere in the literature,...