Discrepancies between several South-Eastern European (SEE) countries and Nordic countries are investigated in this paper using an econometric analysis. Its aim is to examine the relationship between CO2 emissions, GDP per capita, urban population (URB) and electricity production from Renewable...

Bisher stand die empirische Forschung zu Mietwohnungsmärkten nicht im Fokus vergleichender Wohnungsforschung. Mit Blick auf die Debatte um steigende Mieten kann vergleichende Forschung zum Mietwohnungsmarkt zum Erkenntnisgewinn beitragen. Neue Daten aus 25 Industrieländern ermöglichen es nun,...

We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We study several alternatives. Conceptually the simplest of these, but also the most computationally demanding, involves...

For linear regression models with cross-section or panel data, it is natural to assume that the disturbances are clustered in two dimensions. However, the finite-sample properties of two-way cluster-robust tests and confidence intervals are often poor. We discuss several ways to improve...

This paper proposes a new method to estimate quantile regressions with multiple fixed effects. The method, which expands on the strategy proposed by Machado and Santos Silva (2019), allows for the inclusion of multiple fixed effects and provides various alternatives for estimating standard...

The gender pay gap and the gender gap in employment remains persistent in Europe despite the basic assertion of gender equality under EU law. We assess the factors that influence the gender pay gap and gender employment gap across European countries. Therefore, we use an unbalanced panel of 31...

This paper identifies different types of climate change mitigation strategies countries adopted over the last two decades and assesses the policy synergies they might generate. The analysis exploits the rich policy repository of the OECD’s Climate Actions and Policies Measurement Framework...

Linear panel models and the "event-study plots" that often accompany them are popular tools for learning about policy effects. In this paper, we introduce the "xtevent" package for Stata, which enables the construction of event-study plots following the suggestions in Freyaldenhoven et al....

We study cluster-robust inference for binary response models. Inference based on the most commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We study several alternatives. Conceptually the simplest of these, but also the most computationally demanding, involves...

For linear regression models with cross-section or panel data, it is natural to assume that the disturbances are clustered in two dimensions. However, the finite-sample properties of two-way cluster-robust tests and confidence intervals are often poor. We discuss several ways to improve...