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Robust Inference for the Frisch Labor Supply Elasticity
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Robust Inference for the Frisch Labor Supply Elasticity

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  • Michael Keane

    (School of Economics)

  • Timothy Neal

    (UNSW School of Economics)

Abstract

The Frisch labor supply elasticity plays a key role in many policy debates, but its magnitude remains controversial. Many studies use 2SLS regressions of hours changes on wage changes to estimate the Frisch elasticity. 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 a Frisch 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.

Suggested Citation

  • Michael Keane & Timothy Neal, 2022. "Robust Inference for the Frisch Labor Supply Elasticity," Discussion Papers 2021-07d, School of Economics, The University of New South Wales.
  • Handle: RePEc:swe:wpaper:2021-07d
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    More about this item

    Keywords

    Frisch elasticity; labor supply; weak instruments; 2SLS; Anderson-Rubin test; LIML; Continuously Updated GMM;
    All these keywords.

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

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