We study the effects of federal purchases on firm investment using a novel panel dataset that combines federal procurement contracts in the United States with key financial firm-level information. Using panel fixed-effect models, propensity score matching, and inverse probability weighting...

We study strategic investment decisions in multi-stage contests with heterogeneous players. Our theoretical model of a round-robin rank-order tournament predicts that players conserve resources in a current contest to spend more in the subsequent contest if the degree of heterogeneity in the...

We estimate the effects of a mandate allocating a third of corporate board seats to workers (shared governance). We study a reform in Germany that abruptly abolished this mandate for certain firms incorporated after August 1994 but locked it in for the older cohorts. In sharp contrast to the...

Tax legislation, fiscal authorities, and tax courts create tax uncertainty by frequent tax reforms and various different interpretations of the tax law. Moreover, investors generate model-specific tax uncertainty by using simplified models that anticipate the actual tax base incorrectly. I...

This paper estimates the causal effect of corporate tax hikes on firm investment based on more than 1,400 local tax changes. By observing planned and realized investment volumes in a representative sample of German manufacturing firms, we can study how tax hikes induce firms to revise their...

This paper studies how corporate tax hikes transmit across countries through multinationals’ internal networks of subsidiaries. We build a parsimonious multicountry model to underscore two opposing spillover effects: While tax competition between countries generates positive investment...

Recent literature proposes many variables as significant determinants of pollution. This paper gives an overview of this literature and asks which of these factors have an empirically robust impact on water and air pollution, i.e. do not depend upon the conditioning information set. For this, we...

We argue that in modelling cross-country growth models one should first identify so-called outlying observations. For the data set of Sala-i-Martin, we use the least median of squares (LMS) estimator to identify outliers. As LMS is not suited for inference, we then use reweighted least squares...