Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/59468
Authors: 
Chao, John C.
Hausman, Jerry A.
Newey, Whitney K.
Swanson, Norman R.
Woutersen, Tiemen
Year of Publication: 
2011
Series/Report no.: 
Working Papers, Department of Economics, Rutgers, the State University of New Jersey 2011,18
Abstract: 
This paper gives a test of overidentifying restrictions that is robust to many instruments and heteroskedasticity. It is based on a jackknife version of the Sargan test statistic, having a numerator that is the objective function minimized by the JIVE2 estimator of Angrist, Imbens, and Krueger (1999). Correct asymptotic critical values are derived for this test when the number of instruments grows large, at a rate up to the sample size. It is also shown that the test is valid when the number instruments is fixed and there is homoskedasticity. This test improves on recently proposed tests by allowing for heteroskedasticity and by avoiding assumptions on the instrument projection matrix. The asymptotics is based on the heteroskedasticity robust many instrument asymptotics of Chao et. al. (2010).
Subjects: 
heteroskedasticity
instrumental variables
jackknife estimation
many instruments
weak instruments
JEL: 
C13
C31
Document Type: 
Working Paper

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