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Instrumental Variables: Response to Angrist and Imbens

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We compare propensity-score matching methods with covariate matching estimators. We first discuss the data requirements of propensity-score matching estimators and covariate matching estimators. Then we propose two new matching metrics incorporating the ...

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  • James J. Heckman, 1999. "Instrumental Variables: Response to Angrist and Imbens," Journal of Human Resources, University of Wisconsin Press, vol. 34(4), pages 828-837.
    • Handle: RePEc:uwp:jhriss:v:34:y:1999:i:4:p:828-837
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    Cited by:

    1. Martin, Ralf & de Preux, Laure B. & Wagner, Ulrich J., 2009. "The impacts of climate change levy on business: evidence from microdata," LSE Research Online Documents on Economics 37676, London School of Economics and Political Science, LSE Library.
    2. Hidehiko Ichimura & Christopher Taber, 2000. "Direct estimation of policy impacts," IFS Working Papers W00/05, Institute for Fiscal Studies.
    3. Blau, David M. & Tekin, Erdal, 2001. "The Determinants and Consequences of Child Care Subsidies for Single Mothers," IZA Discussion Papers 383, Institute of Labor Economics (IZA).
    4. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    5. Breen, Richard & Ermisch, John, 2021. "Instrumental Variable Estimation in Demographic Studies: The LATE interpretation of the IV estimator with heterogenous effects," SocArXiv vx9m7, Center for Open Science.
    6. Alberto Bisin & Andrea Moro, 2020. "LATE for History," NBER Working Papers 28113, National Bureau of Economic Research, Inc.

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