EconPapers    
Economics at your fingertips  
 

Estimating average treatment effect by model averaging

Yichen Gao, Wei Long () and Zhengwei Wang

Economics Letters, 2015, vol. 135, issue C, 42-45

Abstract: In this paper, we propose to use a model average method to improve the estimation performance of Hsiao et al. (2012) panel data approach for program evaluation. Instead of using the two-step model selection strategy which chooses one best model according to a criterion such as AIC or AICC, we average over a set of candidate models. Simulation results show that the model average estimator exhibits smaller estimation errors in post-treatment prediction than AIC or AICC method.

Keywords: Average treatment effect; Counterfactual; Model average (search for similar items in EconPapers)
JEL-codes: C5 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176515003092
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:135:y:2015:i:c:p:42-45

DOI: 10.1016/j.econlet.2015.08.002

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 2025-03-19
Handle: RePEc:eee:ecolet:v:135:y:2015:i:c:p:42-45