In this paper, a general Blinder-Oaxaca decomposition is derived that can also be applied to non-linear models, which allows the differences in a non-linear outcome variable between two groups to be decomposed into a part that is explained by differences in observed characteristics and a part...

This paper proposes to decompose non-linear models deduced from a latent regression framework using the latent dependent outcome as dependent variable and the Oaxaca–Blinder decomposition technique. Values of the unobserved latent outcome are obtained using simulated residuals.

The boom-bust cycle in U.S. house prices has been a fundamental determinant of the recent financial crisis leading up to the Great Recession. The risky financial innovations in the housing market prior to the recent crisis fueled the speculative housing boom. In this backdrop, the main...

The boom-bust cycle in U.S. house prices has been a fundamental determinant of the recent financial crisis leading up to the Great Recession. The risky financial innovations in the housing market prior to the recent crisis fueled the speculative housing boom. In this backdrop, the main...

This paper analyzes the evidence of non-linearities in the reaction function of the Central Bank of Chile as it relates to its final objective, inflation, and/or to its intermediate objectives defined by the monetary policy transmission channels. The study uses the flexible approach to...

In the current study, we analyze the effect of having a Roma background on women's wages. By utilizing the Athens Area Study random sample (2007-08) drawn from 16 multiethnic municipalities in which Roma live, we estimate that 66.1% of the wage differential between Roma and non-Roma female...

In the current study, we analyze the effect of having a Roma background on women's wages. By utilizing the Athens Area Study random sample (2007-08) drawn from 16 multiethnic municipalities in which Roma live, we estimate that 66.1% of the wage differential between Roma and non-Roma female...

Our paper addresses the correction of the aggregation bias in linear rational expectations modelswhen there is some unobserved micro-parameter heterogeneity and only macro data are available.Starting from Lewbel (1994), we propose two new consistent estimators, which rely on aexible parametric...

In Pötscher and Preinerstorfer (2022) and in the abridged version Pötscher and Preinerstorfer (2024, published in Econometrica) we have tried to clear up the confusion introduced in Hansen (2022a) and in the earlier versions Hansen (2021a,b). Unfortunatelly, Hansen's (2024) reply to Pötscher...

We study the distribution of the adaptive LASSO estimator (Zou (2006)) in finite samples as well as in the large-sample limit. The large-sample distributions are derived both for the case where the adaptive LASSO estimator is tuned to perform conservative model selection as well as for the case...