This paper investigates how conditional quantiles of a given distribution relate to each other. Given two conditional quantiles estimated nonparametrically, we investigate their relation by linking them through a parametric transformation. Asymptotic normality of the associated parameter vector...

One of the lessons of the treatment effects literature is the lack of consensus about the ability of statistical and econometric methods to replicate experimental estimates. In this paper, we provide new evidence using an unusual unemployment insurance experiment that allows the identification...

Valuation of the benefits from the preservation of water resources is often of interest to policy makers and funding institutions. In developing countries, valuation studies are potentially useful for designing funding policies when inequality is a concern. To fulfil this goal, however,...

The aim of this paper is to give a formal definition and consistent estimates of the extremes of a population. This definition relies on a threshold value that delimits the extremes and on the uniform convergence of the distribution of these extremes to a Pareto type distribution. The tail...

The vocational employment training program is the most ambitious and expensive training program in Sweden and a cornerstone of labor market policy. We analyze causal effects on the individual transition rate from unemployment to employment by exploiting variation in the timing of treatment and...

This paper develops IV estimators for unconditional quantile treatment effects (QTE) when the treatment selection is endogenous. In contrast to conditional QTE, i.e. the effects conditional on a large number of covariates X, the unconditional QTE summarize the effects of a treatment for the...

Using the French data set “2002 Employment Survey�, this paper aims to shed light on the nature of the gender wage differential in France, exploring the added-value of a non-parametric analysis over previous knowledge based on parametric estimates. The parametric...

Researchers typically assume experimental subjects have rational expectations. If the object of the experiment is to learn the distibution of decision makers' types, then this amounts to assuming subjects' know the very thing the researcher wishes to learn. We propose a method of conducting...

In this paper, local relationship between per capita health expenditure and GDP is investigated with local quantile regressions. The advantage of using local quantile regressions is the assumption of homogeneity on per capita health care expenditure could be relaxed so that number of countries...

Understanding and forecasting financial time series depend crucially on identifying any non-linearity which may be present. Recent developments in tests for non-linearity very commonly display low power, most likely because of over-smoothing and discarding pertinent information. In this...