Full Citation

Title: Quantification of Gender Preferences and Counterfactual Simulation of Sex-Selective Technology

Citation Type: Miscellaneous

Publication Year: 2023

ISBN:

ISSN:

DOI:

NSFID:

PMCID:

PMID:

Abstract: I formulated a fertility model to quantify preference for a specific gender and gender variety, providing a framework to explore the counterfactual impact of the preva- lence of sex-selection technology on sex ratios and fertility levels. To identify the parameters, I utilized the revealed preferences for having additional children, contingent on random vari- ation in the sex composition of the pre-existing offspring. Leveraging individual data from the American Community Survey (ACS)1 in the past decade, I find a strong preference for mixed-gender offspring and a slight preference for boys in the United States. Heterogeneity among different subgroups, such as race and parental education, is significant. I next signify that the prevalence of sex selection technology is unlikely to result in a skewed sex ratio, primarily because the strong preference for gender variety dominates the preference for a specific gender. I predict the average number of children in each household will increase by approximately 1% with the proliferation of such technology. However, the net effect may vary slightly depending on the cost of sex selection and the distribution of its application across different birth parities.

Url: https://drive.google.com/file/d/1C1K0d5hWtUf1KDQdCcrQ0bHNTxDh75S6/view

User Submitted?: No

Authors: Li, Yichu

Publisher:

Data Collections: IPUMS USA

Topics: Fertility and Mortality, Gender, Methodology and Data Collection

Countries: