Ensemble Methods for Causal Effects in Panel Data Settings

Susan Athey, Mohsen Bayati, Guido Imbens and Zhaonan Qu

AEA Papers and Proceedings, 2019, vol. 109, 65-70

Abstract: In many prediction problems researchers have found that combinations of prediction methods ("ensembles") perform better than individual methods. In this paper we apply these ideas to synthetic control type problems in panel data. Here a number of conceptually quite different methods have been developed. We compare the predictive accuracy of three methods with an ensemble method and find that the latter dominates. These results show that ensemble methods are a practical and effective method for the type of data configurations typically encountered in empirical work in economics, and that these methods deserve more attention.

JEL-codes: C23 C33 (search for similar items in EconPapers)
Date: 2019
Note: DOI: 10.1257/pandp.20191069
References: Add references at CitEc
Citations: View citations in EconPapers (27)

Downloads: (external link)
https://www.aeaweb.org/doi/10.1257/pandp.20191069 (application/pdf)
https://www.aeaweb.org/doi/10.1257/pandp.20191069.ds (application/zip)
Access to full text is restricted to AEA members and institutional subscribers.

Related works:
Working Paper: Ensemble Methods for Causal Effects in Panel Data Settings (2019)
Working Paper: Ensemble Methods for Causal Effects in Panel Data Settings (2019)
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:aea:apandp:v:109:y:2019:p:65-70

Ordering information: This journal article can be ordered from
https://www.aeaweb.org/subscribe.html

Access Statistics for this article

AEA Papers and Proceedings is currently edited by William Johnson and Kelly Markel

More articles in AEA Papers and Proceedings from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().