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Working papers SES

Working papers SES
The Working Papers SES collection is a series of research papers authored by members of the Faculty of Economics and Social Sciences of the University of Fribourg (Switzerland). This series exists since 1980 and the themes investigated reflect the different scientific orientations of the Faculty: economics, business administration, computer management, quantitative methods, social sciences and media and communication sciences. The contents of the research papers are the sole responsibility of their authors.

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3 results 1
Université de Fribourg

Including covariates in the regression discontinuity design

Frölich, Markus ; Huber, Martin

(Working Papers SES ; 489)

This paper proposes a fully nonparametric kernel method to account for observed covariates in regression discontinuity designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates reduces the asymptotic variance and allows estimating the treatment effect at the rate of one-dimensional nonparametric regression, irrespective of the...

Université de Fribourg

Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments

Fricke, Hans ; Frölich, Markus ; Huber, Martin ; Lechner, Michael

(Working Papers SES ; 459)

This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the treatment and a continuous instrument for nonresponse/attrition, we identify the average treatment effect on compliers as well as the total population and suggest...

Université de Fribourg

The finite sample performance of semi- and nonparametric estimators for treatment effects and policy evaluation

Frölich, Markus ; Huber, Martin ; Wiesenfarth, Manuel

(Working Papers SES ; 454)

This paper investigates the fi nite sample performance of a comprehensive set of semi- and nonparametric estimators for treatment and policy evaluation. In contrast to previous simulation studies which mostly considered semiparametric approaches relying on parametric propensity score estimation, we also consider more fl exible approaches based on semi- or nonparametric propensity scores,...

3 results 1