Model specification tests and the estimation of treatment effects: An application with random and non-random administrative records

Tao Chen (t66chen@uwaterloo.ca), Tao Chen and Kenneth A. Couch
Additional contact information
Tao Chen: University of Waterloo, Postal: Waterloo, Canada.,
Tao Chen: Jianghan University, Postal: Hubei, China.
Kenneth A. Couch: University of Connecticut, Postal: USA.

Journal of Economic and Social Measurement, 2016, issue 1, 1-16

Abstract: In addition to existing model specification tests based on over identifying information from pre-program periods, this paper conducts a new nonparametric test based on the concept of unconditional bounding. This test has the advantage that it does not require pre-program information on participants. The nonparametric bounding test yields similar information about model misspecification to the standard test based on over identifying information. As an illustration, we apply the test to administrative records from the Jobs First experiment in Connecticut. Records on other welfare recipients are used to provide quasi-experimental panel regression estimates of the impact of time limiting benefits on labor market earnings.

Keywords: Model misspecification; unconditional bounding; administrative records (search for similar items in EconPapers)
JEL-codes: A13 (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:ris:iosjes:0046

Access Statistics for this article

Journal of Economic and Social Measurement is currently edited by Charles G. Renfro

More articles in Journal of Economic and Social Measurement from IOS Press
Bibliographic data for series maintained by Saskia van Wijngaarden (s.van.wijngaarden@iospress.nl).