 | Assistant Professor of Economics, Brown University Verified email at brown.edu Cited by 547 |
B Melly - Labour Economics, 2005 - Elsevier
This paper proposes a semiparametric estimator of distribution functions in the presence of
covariates. The method is based on the estimation of the conditional distribution by quantile
regression. The conditional distribution is then integrated over the range of covariates. ...
B Melly - Empirical Economics, 2005 - Springer
This paper measures and decomposes the differences in earnings distributions between
public sector and private sector employees in Germany for the years 1984–2001. Oaxaca
decomposition results suggest that conditional wages are higher in the public sector for ...
B Melly - Review of Labor Economics, 2006 - eea-esem.com
Abstract: This paper proposes estimators of unconditional distribution functions in the
presence of covariates. The conditional distribution is estimated by (parametric or
nonparametric) quantile regression. In the parametric setting, we propose an extension of ...
V Chernozhukov, I Fernandez-Val… - MIT Department of …, 2009 - papers.ssrn.com
Abstract: In this paper we develop procedures for performing inference in regression models
about how potential policy interventions affect the entire marginal distribution of an outcome
of interest. These policy interventions consist of either changes in the distribution of ...
M Frölich,
B Melly - IZA DP, 2008 - papers.ssrn.com
Abstract: This paper develops IV estimators for unconditional quantile treatment effects
(QTE) when the treatment selection is endogenous. In contrast to conditional QTE, ie the
effects conditional on a large number of covariates X, the unconditional QTE summarize ...
O Bargain,
B Melly - IZA Discission Papers, 2008 - seminar.wne.uw.edu.pl
Abstract We estimate the public wage gap in France for the period 1990&2002, both at the
mean and at different quantiles of the wage distribution, for men and women separately. We
account for unobserved heterogeneity by using fixed effects estimations on panel data ...
M Froelich… - Stata Journal, 2010 - econ.uzh.ch
Abstract. In this article, we discuss the implementation of various estimators proposed to
estimate quantile treatment effects. We distinguish four cases involving conditional and
unconditional quantile treatment effects with either exogenous or endogenous treatment ...
Abstract: In an evaluation of a job-training program, the influence of the program on the
individual earnings capacity is important, because it reflects the program effect on human
capital. Estimating these effects is complicated because earnings are observed for ...
B Melly - Swiss Institute for International Economics and …, 2006 - tagung05.uni-bonn.de
Abstract: In this paper, we apply the instrumental quantile regression model of
Chernozhukov and Hansen (2005) to data from the German Socio Economic Panel to
examine the wage structure in the public and private sector. Since the original estimator ...
M Lechner… - Brown University Economics Working Paper, 2010 - papers.ssrn.com
Abstract: In an evaluation of a job-training program, the influence of the program on the
individual wages is important, because it reflects the program effect on human capital.
Estimating these effects is complicated because we observe wages only for employed ...
M Frölich,
B Melly - IZA Discussion Paper No. 3638, 2008 - papers.ssrn.com
Abstract: This paper shows nonparametric identification of quantile treatment effects (QTE) in
the regression discontinuity design (RDD) and proposes simple estimators. Quantile
treatment effects are a very helpful tool to characterize the effects of certain interventions ...
[CITATION] Forthcoming.“Decomposition of Differences in Distribution Using Quantile Regression,”
[CITATION] Estimation of counterfactual distributions using quantile regression
M Blaise - 2006 - mimeo
Summary The effects of policy variables on distributional outcomes beyond simple averages
are of interest in many research areas and in particular in labor economics. For instance, the
distributional consequences of minimum wage, training programs and education are of ...
Abstract Most sample selection models assume that the errors are independent of the
regressors. Under this assumption, all quantile and mean functions are parallel, which
implies that quantile estimators cannot reveal any (per definition non-existing) ...
Abstract: This paper analyzes the nonparametric identification of nonseparable models in
the presence of sample selection. Most existing sample selection models severely restrict
the effect heterogene% ity of the observed variables on the outcome distribution. In ...
B Melly… - 2007 - vcharite.univ-mrs.fr
Abstract: Independence of the error term and the covariates is a crucial assumption in
virtually all sample selection models. If this assumption is not satisfied, for instance due to
heteroscedasticity, both mean and quantile regression estimators are inconsistent. If ...
Abstract: We investigate wage and employment effects of privatisation using person-level
firmbased data sets in a privatised and non-privatised public sector firm in the same country.
Our observation period covers the years immediately before and after privatisation. Hence ...
BR Frandsen, M Frölich… - Unpublished manuscript, 2010 - econ.brown.edu
Abstract We introduce a nonparametric estimator for local quantile treatment effects in the
regression discontinuity (RD) design. The procedure uses local distribution regression to
estimate the marginal distributions of the potential outcomes. The estimator attains the ...
Abstract: We investigate the wage effects of privatization using person-level firm-based
panel datasets from one privatized and one nonprivatized public sector firm in the same
country for the years immediately before and after privatization. Thus, we can analyze the ...
[CITATION] The Theory and Practice of Quantile Regression
Zusammenfassung: We investigate the wage effects of privatization using person-level firm-
based panel datasets from one privatized and one nonprivatized public sector firm in the
same country for the years immediately before and after privatization. Thus, we can ...
[CITATION] The Theory AND Practice OF Quantile Regression
Zusammenfassung: This paper develops IV estimators for unconditional quantile treatment
effects (QTE) when the treatment selection is endogenous. In contrast to conditional QTE, ie
the effects conditional on a large number of covariates X, the unconditional QTE ...
Abstract: In an evaluation of a job-training program, the influence of the program on the
individual wages is important, because it reflects the program effect on human capital.
Estimating these effects is complicated because we observe wages only for employed ...
M Frölich,
B Melly - 2010 - papers.ssrn.com
Abstract: This paper shows nonparametric identification of quantile treatment effects (QTE) in
the regression discontinuity design. The distributional impacts of social programs such as
welfare, education, training programs and unemployment insurance are of large interest to ...
Abstract: Do public sector firm ownership and lack of competition matter for wages and
employment? To address this question, we consider a large public sector company that is
privatized. Using personnel records, we find employment contract liberalization to ...
M Frölich,
B Melly - 2008 - econstor.eu
Zusammenfassung: This paper shows nonparametric identification of quantile treatment
effects (QTE) in the regression discontinuity design (RDD) and proposes simple estimators.
Quantile treatment effects are a very helpful tool to characterize the effects of certain ...
In an evaluation of a job-training program, the influence of the program on the individual
earnings capacity is important, because it reflects the program effect on human capital.
Estimating these effects is complicated because earnings are observed for employed ...
Abstract: In this paper we develop nonparametric estimators of the unconditional quantile
treatment effects when treatment selection is endogenous. The identification and estimation
of quantile treatment effects (QTE) has received recently a lot of interest, particularly with ...
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