This paper analyses differences in employment volatility in foreign-owned and domestic companies using firm-level data from 24 European countries. The presence of foreign-owned companies may lead to higher employment volatility because subsidiaries of multinational companies react more...

This paper analyses differences in employment volatility in foreign-owned and domestic companies using firm-level data from 24 European countries. The presence of foreign-owned companies may lead to higher employment volatility because subsidiaries of multinational companies react more...

This paper studies how the Covid-19 pandemic and the extensive job retention support that accompanied it affected productivity in Europe. The focus is on the reallocation channel and productivity-enhancing reallocation of jobs, following Foster et al., 2016. An extensive micro-distributed...

We propose a two-stage estimation procedure to identify the effects of time-invariant regressors in a dynamic version of the Hausman-Taylor model. We first estimate the coefficients of the time-varying regressors and subsequently regress the first-stage residuals on the time-invariant regressors...

This paper provides a new cross-country evaluation of competitiveness, focusing on the linkages between productivity and export performance among European economies. We use the information compiled in the Trade module of CompNet to establish new stylized facts regarding the joint distributions...

We develop a high-dimensional and partly nonlinear non-Gaussian dynamic factor model for the decomposition of systematic default risk conditions into a set of latent components that correspond with macroeconomic/financial, default-specific (frailty), and industry-specific effects. Discrete...

This paper provides a new cross-country evaluation of competitiveness, focusing on the linkages between productivity and export performance among European economies. We use the information compiled in the Trade module of CompNet to establish new stylized facts regarding the joint distributions...

We propose a dynamic factor model for mixed-measurement and mixed-frequency panel data. In this framework time series observations may come from a range of families of parametric distributions, may be observed at different time frequencies, may have missing observations, and may exhibit common...

We introduce a new dynamic clustering method for multivariate panel data char-acterized by time-variation in cluster locations and shapes, cluster compositions, and, possibly, the number of clusters. To avoid overly frequent cluster switching (flickering), we extend standard cross-sectional...

We investigate the dynamic properties of systematic default risk conditions for firms in different countries, industries and rating groups. We use a high-dimensional nonlinear non-Gaussian state space model to estimate common components in corporate defaults in a 41 country sample between...