Robust Inference for the Frisch Labor Supply Elasticity
Michael P. Keane and
Timothy Neal
No 81, Opportunity and Inclusive Growth Institute Working Papers from Federal Reserve Bank of Minneapolis
Abstract:
The Frisch labor supply elasticity plays a key role in many economic policy debates, but its magnitude remains controversial. Many studies estimate the Frisch elasticity using 2SLS regressions of hours changes on wage changes. But a little appreciated power asymmetry property of 2SLS causes estimates to appear spuriously imprecise when they are shifted away from the OLS bias. This makes it difficult for a 2SLS t-test to detect a true positive Frisch elasticity. We illustrate this problem in an application to NLSY97 data. We obtain an estimate of 0.60 for young men, but the t-test indicates it is insignificant. In contrast, the Anderson-Rubin (AR) test – which avoids the power asymmetry problem – implies the estimate is highly significant. The same power asymmetry issue that afflicts the t-test here will arise in many IV applications. Thus, we argue the AR test should be widely adopted in lieu of the t-test.
Keywords: continuously updated GMM; Labor supply; 2SLS; LIML; weak instruments; Frisch elasticity; Anderson-Rubin test (search for similar items in EconPapers)
JEL-codes: C12 C26 D15 J22 (search for similar items in EconPapers)
Date: 2023-11-17
New Economics Papers: this item is included in nep-lma
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Related works:
Working Paper: Robust Inference for the Frisch Labor Supply Elasticity (2022) 
Working Paper: Robust Inference for the Frisch Labor Supply Elasticity (2022) 
Working Paper: Robust Inference for the Frisch Labor Supply Elasticity (2021) 
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Persistent link: https://EconPapers.repec.org/RePEc:fip:fedmoi:97510
DOI: 10.21034/iwp.81
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