Employing a sample of Spanish municipalities from the Madrid region for the period 2010-2019, we study the influence of a politician's sex on political budget cycles (PBCs). The Madrid region is subject to a homogenous set of budget rules, which allows consistently categorising budget...

Employing a sample of Spanish municipalities from the Madrid region for the period 2010−2019, we study the influence of a politician’s sex on political budget cycles (PBCs). The Madrid region is subject to a homogenous set of budget rules, which allows consistently categorising budget...

Does budget transparency effectively limit the use of creative accounting to circumvent fiscal rules? Through examining a Spanish reform that limited the obligation to provide regular budget information, I study the effect of relaxing transparency rules on budget forecast errors. After the...

In a Regression Kink (RK) design with a finite sample, a confounding smooth nonlinear relationship between an assignment variable and an outcome variable around a threshold can be spuriously picked up as a kink and result in a biased estimate. In order to investigate how well RK designs handle...

In a Regression Kink (RK) design with a finite sample, a confounding smooth nonlinear relationship between an assignment variable and an outcome variable around a threshold can be spuriously picked up as a kink and result in a biased estimate. In order to investigate how well RK designs handle...

We provide a comprehensive analysis of the short- and medium-term effects of gender quotas in candidate lists using evidence from Spain, where quotas were introduced in 2007 in municipalities with more than 5,000 inhabitants, and were extended in 2011 to municipalities with more than 3,000...

We provide a comprehensive analysis of the short- and medium-term effects of gender quotas in candidate lists using evidence from Spain, where quotas were introduced in 2007 in municipalities with more than 5,000 inhabitants, and were extended in 2011 to municipalities with more than 3,000...

This paper examines the predictive power of different estimation approaches for reservation wages. It applies stochastic frontier models for employed workers and the approach from Kiefer and Neumann (1979b) for unemployed workers. Furthermore, the question of whether or not reservation wages...

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...

This paper studies the spatial random effects and spatial fixed effects model. The model includes a Cliff and Ord type spatial lag of the dependent variable as well as a spatially lagged one-way error component structure, accounting for both heterogeneity and spatial correlation across units. We...