The field of artificial intelligence is currently experiencing relentless growth, with
innumerable models emerging in the research and development phases across various …

The financial crisis has demonstrated the need for a set of macroprudential policy tools that
can be used to mitigate systemic risk. Focusing on the UK, our paper reviews the …

Within psychology and the social sciences, Ordinary Least Squares (OLS) regression is one
of the most popular techniques for data analysis. In order to ensure the inferences from the …

The cluster robust variance estimator (CRVE) relies on the number of clusters being
sufficiently large. Monte Carlo evidence suggests that the 'rule of 42'is not true for …

How big is the elasticity of substitution between goods from different countries—the
Armington elasticity? Estimates of the macroelasticity between home and imported goods …

The classic papers by Newey and West (1987) and Andrews (1991) spurred a large body of
work on how to improve heteroscedasticity-and autocorrelation-robust (HAR) inference in …

This microeconometric study analyzes the effects of individual leisure sports participation on
long-term labour market variables, health and subjective well-being indicators for West …

Interest in evaluating the effects of continuous treatments has been on the rise recently. To
facilitate the estimation of causal effects in this setting, the present paper introduces entropy …

Based on new, exceptionally informative and large German linked employer–employee
administrative data, we investigate the question whether the omission of important control …

We propose a wild bootstrap procedure for linear regression models estimated by
instrumental variables. Like other bootstrap procedures that we proposed elsewhere, it uses …