Institutional Affiliation: New York University
|The Effect of Fertility on Mothers’ Labor Supply over the Last Two Centuries|
with , , , , : w23717
Using a compiled dataset of 441 censuses and surveys between 1787 and 2015, representing 103 countries and 48.4 million mothers, we find that: (1) the effect of fertility on labor supply is typically indistinguishable from zero at low levels of development and large and negative at higher levels of development; (2) the negative gradient is stable across historical and contemporary data; and (3) the results are robust to identification strategies, model specification, and data construction and scaling. Our results are consistent with changes in the sectoral and occupational structure of female jobs and a standard labor-leisure model.
|Local Instruments, Global Extrapolation: External Validity of the Labor Supply-Fertility Local Average Treatment Effect|
with , , : w21663
We investigate whether local average treatment effects (LATE’s) can be extrapolated to new settings. We extend the analysis and framework of Dehejia, Pop-Eleches, and Samii (2015), which examines the external validity of the Angrist-Evans (1998) reduced-form natural experiment of having two first children of the same sex on the probability of an incremental child and on mother’s labor supply. We estimate Angrist and Evans's (1998) same-sex instrumental variable strategy in 139 country-year censuses using data from the Integrated Public Use Micro Sample International. We compare each country-year's LATE, as a hypothetical target, to the LATE extrapolated from other country-years (using the approach suggested by Angrist and Fernandez-Val 2010). Paralleling our findings in Dehejia, Pop-Eleche...
Published: 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.
|From Local to Global: External Validity in a Fertility Natural Experiment|
with , : w21459
We study issues related to external validity for treatment effects using over 100 replications of the Angrist and Evans (1998) natural experiment on the effects of sibling sex composition on fertility and labor supply. The replications are based on census data from around the world going back to 1960. We decompose sources of error in predicting treatment effects in external contexts in terms of macro and micro sources of variation. In our empirical setting, we find that macro covariates dominate over micro covariates for reducing errors in predicting treatments, an issue that past studies of external validity have been unable to evaluate. We develop methods for two applications to evidence-based decision-making, including determining where to locate an experiment and whether policy-makers ...