[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
  EconPapers    
Economics at your fingertips  
 

Partial identification of distributional and quantile treatment effects in difference-in-differences models

Yanqin Fan and Zhengfei Yu

Economics Letters, 2012, vol. 115, issue 3, 511-515

Abstract: In this paper, we supplement the identification results for the mean treatment effect for the treated in the difference-in-differences framework studied by Abadie (2005) by establishing partial identification results for the distribution and quantile of the counterfactual outcome and of the treatment effect for the treated. Unlike the mean treatment effect which is identifiable from either the panel or the repeated cross sectional data, we show that the distribution/quantile of either the counterfactual outcome or of the treatment effect is only partially identified and in general the identified interval is tighter with panel than with the repeated cross sectional data. We further illustrate this gain from the panel via a numerical example.

Keywords: Cross sectional data; Identified interval; Panel data; Program evaluation; Sharp bounds (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176512000067
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:115:y:2012:i:3:p:511-515

DOI: 10.1016/j.econlet.2012.01.001

Access Statistics for this article

Economics Letters is currently edited by Economics Letters Editorial Office

More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2024-12-28
Handle: RePEc:eee:ecolet:v:115:y:2012:i:3:p:511-515