We provide empirical evidence that female mayors do not affect the expenditure allocation or size of local governments. This result is robust across a variety of regression discontinuity and standard multivariate estimations. We also examine whether elected female candidates have an increased...

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...

This working paper aims to stress the role of the institutional capital and its components, as primary factors, in economic results at the national level, using adequate measurement indicators and econometric models. For this purpose, we analysed the following aspects: the definition of...

We investigate possible presence of time-varying risk premia in forward pound, yen,and Euro monthly exchange rates versus the US dollar 3 over the last two decades. We study this issue using regression techniques and separately using a signal plus noise model. Our models account for time-varying...

In this paper we consider the problem of interpreting the signs of the estimated coefficients in multivariate time series regressions where the regressors are correlated. Using a continuous time model, we argue that focusing on the signs of individual coefficients in such regressions could be...

This article presents new evidence on urban-rural migrant wage differentials of workers in full-time employment in China. It utilises a nationally representative data set, recent matching techniques, and IV estimation methods to evaluate conditional and unconditional quantile treatment effects...

A low frequency factor model regression uses returns computed at a lower frequency than data available. An example is using monthly rather than daily returns to estimate the Capital Asset Pricing Model (CAPM). I show that when using overlapping observations to estimate low frequency factor model...

In this paper we analyze a multivariate non-stationary regression model empirically. With the knowledge about unconditional heteroscedasticty of financial returns, based on univariate studies and a congruent paradigm in Gürtler and Rauh (2009), we test for a time-varying covariance structure...