The German government provides discretionary investment grants to structurally weak regions to reduce regional disparities. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of receiving investment grants, to identify the causal effects of the...

The German government provides discretionary investment grants to structurally weak regions to reduce regional disparities. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of receiving investment grants to identify the causal effects of the...

Local loop unbundling has been widely promulgated by policy-makers as a significant factor stimulating broadband uptake and therefore an essential component of a developing 'information economy'. Whilst empirical evidence on this issue is sparse, one recent study commissioned and published by...

This study aims at identifying guests’ willingness to pay for characteristics of listings on Airbnb, putting a particular emphasis on trust-building information provided by the platform. In order to do so, a hedonic regression model is applied to an extensive dataset that was gathered in 2017...

The convergence of German regions represents a politically explosive question. Different studies examined convergence processes of Germany. We derive equations to estimate the convergence speed on basis of a Solow model, to which human capital is added. The geographically weighted regression...

Quantile regression is an increasingly important empirical tool in economics and other sciences for analyzing the impact of a set of regressors on the conditional distribution of an outcome. Extremal quantile regression, or quantile regression applied to the tails, is of interest in many...

This article proposes a new class of rating scale models, which merges advantages and overcomes shortcomings of the traditional linear and ordered latent regression models. Both parametric and semi-parametric estimation is considered. The insights of an empirical application to satisfaction data...

Multiple regression is frequently used across the various social sciences to analyze cross-sectional data. However, it can often times be challenging to justify the assumption of common regression coefficients across all respondents. This manuscript presents a heterogeneous Bayesian regression...