This paper introduces the structural threshold regression model that allows for an endogenous threshold variable as well as for endogenous regressors. This model provides a parsimonious way of modeling nonlinearities and has many potential applications in economics and fi nance. Our framework...

In this paper, we investigate semiparametric threshold regression models with endogenous threshold variables based on a nonparametric control function approach. Using a series approximation we propose a two-step estimation method for the threshold parameter. For the regression coefficients, we...

We study regression models that involve data sampled at different frequencies. We derive the asymptotic properties of the NLS estimators of such regression models and compare them with the LS estimators of a traditional model that involves aggregating or equally weighting data to estimate a...

We revisit the relationship between pre-primary education and achievement test scores in the primary school, by employing a Bayesian Model Averaging (BMA) approach combined with Gini regression estimates. The data are taken from the OECD Programme for International Student Assessment (PISA) for...