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Treatment evaluation with multiple outcome periods under endogeneity and attrition

Frölich, Markus; Huber, Martin - 2014

This paper develops a nonparametric methodology for treatment evaluation with multiple outcome periods under treatment endogeneity and missing outcomes. We use instrumental variables, pre-treatment characteristics, and short-term (or intermediate) outcomes to identify the average treatment...

Persistent link: https://www.econbiz.de/10010249397

Nonparametric Tests for Treatment Effect Heterogeneity

Crump, Richard K. - 2006

A large part of the recent literature on program evaluation has focused on estimation of the average effect of the treatment under assumptions of unconfoundedness or ignorability following the seminal work by Rubin (1974) and Rosenbaum and Rubin (1983). In many cases however, researchers are...

Persistent link: https://www.econbiz.de/10012780268

Long-run effects of dynamically assigned treatments : a new methodology and an evaluation of training effects on earnings

Berg, Gerard J. van den; Vikström, Johan - 2019

effects of the treatment at a certain elapsed duration compared to "no treatment at any subsequent duration". We prove …

Persistent link: https://www.econbiz.de/10012035113

Quantile treatment effects in difference in differences models with panel data

Callaway, Brantly; Li, Tong - In: Quantitative economics : QE ; journal of the … 10 (2019) 4, pp. 1579-1618

This paper considers identification and estimation of the Quantile Treatment Effect on the Treated (QTT) under a straightforward distributional extension of the most commonly invoked Mean Difference in Differences Assumption used for identifying the Average Treatment Effect on the Treated (ATT)....

Persistent link: https://www.econbiz.de/10012202873

A nonparametric method for predicting survival probabilities

Klaauw, Bas van der; Vriend, Sandra - 2015

the program. The literature uses linear probability models and (Cox) proportional hazard models to predict duration … outcomes. These either focus on one threshold duration or impose proportionality. In this paper we propose a nonparametric …

Persistent link: https://www.econbiz.de/10011391532

Nonparametric Estimation of a Dependent Competing Risks Model For Unemployment Durations

van den Berg, Gerard J.; van Lomwel, A. Gijsbert C.; … - 2021

estimate a dependent competing risks model with nonparametric specifications of the destination-specific duration dependence …-1994, stratified by gender type, duration class and exit state …

Persistent link: https://www.econbiz.de/10013319696

Application of a Simple Nonparametric Conditional Quantile Function Estimator in Unemployment Duration Analysis

Wichert, Laura; Wilke, Ralf A. - 2008

duration data …

Persistent link: https://www.econbiz.de/10014061563

Semiparametric Efficiency Bounds and Efficient Estimation of Discrete Duration Models with Unspecified Hazard Rate

Reza, Sadat - 2020

We consider semiparametric estimation of discrete duration models whose hazard rate can be characterized as an unknown … case of separable duration dependence the information matrix for the parameters of the index is singular. In that situation … those instances when the information matrix is nonsingular. Less-than–root-N–consistent estimators of the duration …

Persistent link: https://www.econbiz.de/10012849533

Dynamically assigned treatments : duration models, binary treatment models, and panel data models

Abbring, Jaap H.; Berg, Gerard J. van den - 2002

Often, the moment of a treatment and the moment at which the outcome of interest occurs are realizations of stochastic processes with dependent unobserved determinants. Notably, both treatment and outcome are characterized by the moment they occur. We compare different methods of inference of...

Persistent link: https://www.econbiz.de/10011574791

The non-parametric identification of lagged duration dependence

Frijters, Paul - 2000

applied to the multiple non-employment spells of 2066 newentrants. The estimated lagged duration dependence function rises for …

Persistent link: https://www.econbiz.de/10011303308