Selecting the relevant covariates in high-dimensional panel data remains a central challenge in applied econometrics. Conventional fixed effects and random effects models are not designed for systematic variable selection under model uncertainty. In addition, many existing models such as LASSO...

This document introduces the R library estimateW to estimate spatial weight matrices for Bayesian spatial econometric panel models. The approach focuses on spatial weights that are binary prior to row-standardization. However, unlike recent literature our approach requires no strong a priori...

This paper provides novel empirical evidence on the impact of monetary policy on innovation investment using unique firm-level data. First, we document the ef- fect of a large, systematic monetary tightening (ECB rate increases from 0% to 4.5% during 2022-23), with average firm-level innovation...

This paper provides novel empirical evidence on the impact of monetary policy on innovation investment using unique firm-level data. First, we document the effect of a large, systematic monetary tightening (ECB rate increases from 0% to 4.5% during 2022-23), with average firm-level innovation...

The rapid development of artificial intelligence (AI) has significantly transformed digital marketing enhancing its effectiveness and raising new ethical and privacy concerns. This study investigates the ethical implications of AI-based digital marketing, particularly focusing on user privacy....