Published May 2013
| Submitted
Working Paper
Open
Identifying Treatment Effects under Data Combination
- Creators
- Fan, Yanqin
- Sherman, Robert
-
Shum, Matthew
Chicago
An error occurred while generating the citation.
Abstract
We consider the identification of counterfactual distributions and treatment effects when the outcome variables and conditioning covariates are observed in separate datasets. Under the standard selection on observables assumption, the counterfactual distributions and treatment effect parameters are no longer point identified. However, applying the classical monotone re-arrangement inequality, we derive sharp bounds on the counterfactual distributions and policy parameters of interest.
Additional Information
We are grateful to Cheng Hsiao, Sergio Firpo, Marc Henry, Chuck Manski, Kevin Song, and Jeff Wooldridge for valuable comments and discussions. We thank SangMok Lee for excellent research assistance, and seminar participants at Michigan State, USC, U. Washington, the Canadian Econometrics Study Group meetings (2011, Toronto), and the Vanderbilt conference, Identification and Inference in Microecononetrics (2012) for useful comments.Attached Files
Submitted - sswp1377.pdf
Files
sswp1377.pdf
Files
(156.6 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:00147dbce5106e9dfaab8ec0539f3e52
|
156.6 kB | Preview Download |
Additional details
- Eprint ID
- 79456
- Resolver ID
- CaltechAUTHORS:20170726-154328187
- Created
-
2017-08-07Created from EPrint's datestamp field
- Updated
-
2019-10-03Created from EPrint's last_modified field
- Caltech groups
- Social Science Working Papers
- Series Name
- Social Science Working Paper
- Series Volume or Issue Number
- 1377