EconStor >
Forschungsinstitut zur Zukunft der Arbeit (IZA), Bonn >
IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA) >

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10419/36304
  
Title:Testing the correlated random coefficient model PDF Logo
Authors:Heckman, James Joseph
Schmierer, Daniel
Urzúa, Sergio
Issue Date:2009
Series/Report no.:IZA Discussion Papers 4525
Abstract:The recent literature on instrumental variables (IV) features models in which agents sort into treatment status on the basis of gains from treatment as well as on baseline-pretreatment levels. Components of the gains known to the agents and acted on by them may not be known by the observing economist. Such models are called correlated random coefficient models. Sorting on unobserved components of gains complicates the interpretation of what IV estimates. This paper examines testable implications of the hypothesis that agents do not sort into treatment based on gains. In it, we develop new tests to gauge the empirical relevance of the correlated random coefficient model to examine whether the additional complications associated with it are required. We examine the power of the proposed tests. We derive a new representation of the variance of the instrumental variable estimator for the correlated random coefficient model. We apply the methods in this paper to the prototypical empirical problem of estimating the return to schooling and find evidence of sorting into schooling based on unobserved components of gains.
Subjects:Correlated random coefficient
testing
instrumental variables
power of tests based on IV
JEL:C31
Persistent Identifier of the first edition:urn:nbn:de:101:1-20091105968
Document Type:Working Paper
Appears in Collections:IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)

Files in This Item:
File Description SizeFormat
614803225.pdf828.95 kBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:http://hdl.handle.net/10419/36304

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.