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Local Instruments, Global Extrapolation: External Validity of the Labor Supply-Fertility Local Average Treatment Effect

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  • James Bisbee
  • Rajeev Dehejia
  • Cristian Pop-Eleches
  • Cyrus Samii

Abstract

We investigate the external validity of local average treatment effects (LATEs), specifically Angrist and Evans's use of same sex of the two first children as an instrumental variable for the effect of fertility on labor supply. We estimate their specification in 139 country-year censuses using Integrated Public Use Microdata Sample-International data. We compare each country-year's actual LATE to the extrapolated LATE from other country-years. We find that, with a sufficiently large reference sample, we extrapolate the treatment effect reasonably well, but the degree of accuracy depends on the extent of covariate similarity between the target and reference settings.

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  • James Bisbee & Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2017. "Local Instruments, Global Extrapolation: External Validity of the Labor Supply-Fertility Local Average Treatment Effect," Journal of Labor Economics, University of Chicago Press, vol. 35(S1), pages 99-147.
  • Handle: RePEc:ucp:jlabec:doi:10.1086/691280
    DOI: 10.1086/691280
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    1. James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 487-535.
    2. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    3. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    4. Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2021. "From Local to Global: External Validity in a Fertility Natural Experiment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 217-243, January.
    5. V. Joseph Hotz & Susan Williams McElroy & Seth G. Sanders, 2005. "Teenage Childbearing and Its Life Cycle Consequences: Exploiting a Natural Experiment," Journal of Human Resources, University of Wisconsin Press, vol. 40(3).
    6. Angrist, Joshua D & Evans, William N, 1998. "Children and Their Parents' Labor Supply: Evidence from Exogenous Variation in Family Size," American Economic Review, American Economic Association, vol. 88(3), pages 450-477, June.
    7. Martin Huber & Giovanni Mellace, 2015. "Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 398-411, May.
    8. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    9. Luke W. Miratrix & Jasjeet S. Sekhon & Bin Yu, 2013. "Adjusting treatment effect estimates by post-stratification in randomized experiments," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(2), pages 369-396, March.
    10. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    11. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    12. Martin Huber, 2015. "Testing the Validity of the Sibling Sex Ratio Instrument," LABOUR, CEIS, vol. 29(1), pages 1-14, March.
    13. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    14. Erin Hartman & Richard Grieve & Roland Ramsahai & Jasjeet S. Sekhon, 2015. "From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(3), pages 757-778, June.
    15. Lena Edlund & Chulhee Lee, 2013. "Son Preference, Sex Selection and Economic Development: The Case of South Korea," NBER Working Papers 18679, National Bureau of Economic Research, Inc.
    16. Joshua Angrist & Ivan Fernandez-Val, 2010. "ExtrapoLATE-ing: External Validity and Overidentification in the LATE Framework," NBER Working Papers 16566, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2021. "From Local to Global: External Validity in a Fertility Natural Experiment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 217-243, January.
    2. Frederico Finan & Demian Pouzo, 2021. "Reinforcing RCTs with Multiple Priors while Learning about External Validity," Papers 2112.09170, arXiv.org, revised Mar 2023.
    3. Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
    4. Nikolova, Elena & Polansky, Jakub, 2022. "Children and female employment in Mongolia," Economic Systems, Elsevier, vol. 46(3).
    5. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03455978, HAL.
    6. Alexandra de Gendre & Jan Feld & Nicolás Salamanca & Ulf Zölitz, 2023. "Same-sex role model effects in education," ECON - Working Papers 438, Department of Economics - University of Zurich.
    7. Bhalotra, Sonia & Clarke, Damian & Walther, Selma, 2022. "Women's Careers and Family Formation," GLO Discussion Paper Series 1120, Global Labor Organization (GLO).
    8. Daniel Aaronson & Rajeev Dehejia & Andrew Jordan & Cristian Pop-Eleches & Cyrus Samii & Karl Schulze, 2021. "The Effect of Fertility on Mothers’ Labor Supply over the Last Two Centuries [Semiparametric instrumental variables estimation of treatment response models]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 1-32.
    9. Denis Fougère & Nicolas Jacquemet, 2019. "Causal Inference and Impact Evaluation," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 181-200.
    10. Iva Trako, 2018. "Fertility and Parental Labor-Force Participation: New Evidence from a Developing Country in the Balkans," PSE Working Papers halshs-01828471, HAL.
    11. Nikolova, Elena & Polansky, Jakub, 2022. "Children and Female Employment in Mongolia," GLO Discussion Paper Series 1015, Global Labor Organization (GLO).
    12. Chu, Yu-Wei Luke & Cuffe, Harold E. & Doan, Nguyen, 2020. "Motherhood Employment Penalty and Gender Wage Gap Across Countries: 1990–2010," MPRA Paper 99866, University Library of Munich, Germany.
    13. Elena Nikolova & Jakub Polansky, 2022. "Children and Female Employment in Mongolia," Working Papers 396, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    14. Julia Schmieder, 2020. "Fertility as a Driver of Maternal Employment," Discussion Papers of DIW Berlin 1882, DIW Berlin, German Institute for Economic Research.
    15. Elena Nikolova & Jakub Polansky, 2022. "Children and Female Employment in Mongolia," Discussion Papers 61, Central European Labour Studies Institute (CELSI).
    16. Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Papers 2204.07672, arXiv.org, revised Feb 2024.
    17. Iva Trako, 2018. "Fertility and Parental Labor-Force Participation: New Evidence from a Developing Country in the Balkans," Working Papers halshs-01828471, HAL.
    18. Jan Priebe, 2020. "Quasi-experimental evidence for the causal link between fertility and subjective well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 839-882, July.
    19. Chu, Yu-Wei Luke & Cuffe, Harold E & Doan, Nguyen, 2021. "Motherhood Employment Penalty and Gender Wage Gap Across Countries: 1990–2010," Working Paper Series 9446, Victoria University of Wellington, School of Economics and Finance.
    20. Schmieder, Julia, 2021. "Fertility as a driver of maternal employment," Labour Economics, Elsevier, vol. 72(C).

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    More about this item

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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