Bounding program benefits when participation is misreported

Saved in:

Bibliographic Details
Authors and Corporations:	Tommasi, Denni (Author), Zhang, Lina (Author)
Other Authors:	Zhang, Lina [Author]
Type of Resource:	E-Book
Language:	English
published:	Bonn, Germany IZA - Institute of Labor Economics June 2020
Series:	Forschungsinstitut zur Zukunft der Arbeit: Discussion paper series ; no. 13430
Subjects:	heterogenous treatment effects causality binary treatment endogenous measurement error discrete or multiple instruments weighted average of LATEs endogeneity program evaluation Graue Literatur
Source:	Verbunddaten SWB Lizenzfreie Online-Ressourcen

Description
Summary:	In empirical research, measuring correctly the benefits of welfare interventions is incredibly relevant for policymakers as well as academic researchers. Unfortunately, the endogenous program participation is often misreported in survey data and standard instrumental variable techniques are not sufficient to point identify and consistently estimate the effects of interest. In this paper, we focus on the weighted average of local average treatment effects (LATE) and (i) derive a simple relationship between the causal and the identifiable parameter that can be recovered from the observed data, (ii) provide an instrumental variable method to partially identify the heterogeneous treatment effects, (iii) formalize a strategy to combine administrative data on the misclassification probabilities of treated individuals to further tighten the bounds. Finally, we use our method to reassess the benefits of participating to the 401(k) pension plan on savings.
Physical Description:	1 Online-Ressource (circa 90 Seiten); Illustrationen