Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/62585 
Year of Publication: 
2012
Series/Report no.: 
IZA Discussion Papers No. 6692
Publisher: 
Institute for the Study of Labor (IZA), Bonn
Abstract: 
The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption or on the availability of an instrument. When available, instruments may also be used to test for the unconfoundedness assumption (exogeneity of the treatment). In this paper, we define variables which we call quasi-instruments because they allow us to test for the unconfoundedness assumption although they do not necessarily yield nonparametric identification of the average causal effect. A quasi-instrument is defined as an instrument except for that its relation to the treatment is allowed to be confounded by unobservables, thereby resulting in a wider range of potential applications. We propose a test for the unconfoundedness assumption based on a quasi-instrument, and give conditions under which the test has power. We perform a simulation study and apply the results to a case study where the interest lies in evaluating the effect of job practice on employment.
Subjects: 
testing
endogeneity
monotonicity
potential outcomes
JEL: 
C26
C52
Document Type: 
Working Paper

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