This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to...

This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to...

This paper considers the estimation and inference of spatial panel data models with heterogeneous spatial lag coefficients, with and without weakly exogenous regressors, and subject to heteroskedastic errors. A quasi maximum likelihood (QML) estimation procedure is developed and the conditions...

In this paper, we develop and test empirically a model of capital structure. We show analytically that the square of 1 minus the debt ratio (total debt divided by total assets) is positively associated with the inverse of total assets and negatively associated with the log of total assets...

This paper studies how variations in tax rates and profitability affect the (unconditional) quantiles of the distribution of the leverage of European foreign owned subsidiaries in the presence of unobserved company characteristics, possibly correlated with their observable dimensions. To achieve...

This paper investigates the regional differences in the spread of COVID-19 infections in Germany. A machine learning selection procedure is used to reduce variables from a pool of potential influencing variables. The empirical analysis shows that both regional structural variables and regionally...

I consider estimation of the average treatment effect (ATE), in a population composed of $G$ groups, when one has unbiased and uncorrelated estimators of each group's conditional average treatment effect (CATE). These conditions are met in stratified randomized experiments. I assume that the...

While the gig economy has been growing rapidly, evidence on its implications for the labor force remains sparse. This paper shows that gig work can buffer income losses arising from unemployment shocks. Matching a large sample of administrative employment data with information on platform entry,...

This study contributes to the subjective well-being and retirement literature by quantifying life satisfaction before (4) and after retirement (9+) periods asking: Are retirees more satisfied? Fixed-effects and causal instrumental variables (IV) estimates with individual longitudinal data of the...