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Plausibly Exogenous

The Review of Economics and Statistics · 2010 · Vol. 94(1) · pp. 260–272
Timothy G. ConleyChristian HansenPeter E. Rossi

Abstract

Instrumental variable (IV) methods are widely used to identify causal effects in models with endogenous explanatory variables. Often the instrument exclusion restriction that underlies the validity of the usual IV inference is suspect; that is, instruments are only plausibly exogenous. We present practical methods for performing inference while relaxing the exclusion restriction. We illustrate the approaches with empirical examples that examine the effect of 401(k) participation on asset accumulation, price elasticity of demand for margarine, and returns to schooling. We find that inference is informative even with a substantial relaxation of the exclusion restriction in two of the three cases.

Advanced Causal Inference TechniquesStatistical Methods and InferenceGender, Labor, and Family DynamicsInstrumental variableEconometricsEconomicsInferenceCausal inferenceSuspectAsset (computer security)Indirect InferenceStatisticsMathematics
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References
GMM estimation with cross sectional dependence
Journal of Econometrics · 1999 · 2,571 citations
Does Compulsory School Attendance Affect Schooling and Earnings?
The Quarterly Journal of Economics · 1991 · 2,547 citations
Identification of Causal Effects Using Instrumental Variables
Journal of the American Statistical Association · 1996 · 4,064 citations
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