Arbeitspapier
Treatment Evaluation with Multiple Outcome Periods under Endogeneity and Attrition
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 effect on the outcomes of compliers (the subpopulation whose treatment reacts on the instrument) in multiple periods based on inverse probability weighting. Treatment selection and attrition may depend on both observed characteristics and the unobservable compliance type, which is possibly related to unobserved factors. We also provide a simulation study and apply our methods to the evaluation of a policy intervention targeting college achievement, where we find that controlling for attrition considerably affects the effect estimates.
- Sprache
-
Englisch
- Erschienen in
-
Series: IZA Discussion Papers ; No. 7972
Klassifikation
Wirtschaft
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Single Equation Models; Single Variables: Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Single Equation Models; Single Variables: Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
Thema
treatment effect
attrition
endogeneity
panel data
weighting
attrition
endogeneity
panel data
weighting
Ereignis
Geistige Schöpfung
(wer)
Frölich, Markus
Huber, Martin
Huber, Martin
Ereignis
Veröffentlichung
(wer)
Institute for the Study of Labor (IZA)
(wo)
Bonn
(wann)
2014
- Handle
- Letzte Aktualisierung
-
20.09.2024, 08:24 MESZ
Objekttyp
- Arbeitspapier
Beteiligte
- Frölich, Markus
- Huber, Martin
- Institute for the Study of Labor (IZA)
Entstanden
- 2014
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