Quantile regression and quantile treatment effect methods are powerful econometric tools for considering economic impacts of events or variables of interest beyond the mean. The use of quantile methods allows for an examination of impacts of some independent variable over the entire distribution...

We employ a balanced panel dataset representative of the entire Chilean productive structure in order to investigate the relation between the introduction of innovation and subsequent firm growth in terms of sales. Recent contributions examining the returns to innovation on firm performance have...

There is sparse evidence on the impact of health information on mental health as well as on the mechanisms governing this relationship. We estimate the causal impact of health information on mental health via the effect of a diabetes diagnosis on depression. We employ a fuzzy regression...

Quantile regression and quantile treatment effect methods are powerful econometric tools for considering economic impacts of events or variables of interest beyond the mean. The use of quantile methods allows for an examination of impacts of some independent variable over the entire distribution...

Development aid does not always exert the desired positive effect on economic growth in recipient countries and it is even feared that it may reduce total factor productivity (TFP) and may discourage recipient countries ́efforts. This study seeks to contribute to the research on aid...

The emergence and evolution of modern science since the 17th century has led to three major breakthroughs in the human condition. The first, the Industrial Revolution, started in the late 18th century and is based chiefly on developments associated with the rise of the natural sciences. The...

The emergence and evolution of modern science since the 17th century has led to three major breakthroughs in the human condition. The first, the Industrial Revolution, started in the late 18th century and is based chiefly on developments associated with the rise of the natural sciences. The...

We employ a balanced panel dataset representative of the entire Chilean productive structure in order to investigate the relation between the introduction of innovation and subsequent firm growth in terms of sales. Recent contributions examining the returns to innovation on firm performance have...

In many applications of the differences-in-differences (DID) method, the treatment increases more in the treatment group, but some units are also treated in the control group. In such fuzzy designs, a popular estimator of treatment effects is the DID of the outcome divided by the DID of the...

This paper studies estimation of conditional and unconditional quantile treatment effects based on the instrumental variable quantile regression (IVQR) model (Chernozhukov and Hansen, 2004, 2005, 2006). I introduce a class of semiparametric plug-in estimators based on closed form solutions...