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Cited by 177

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Sisters, Siblings, and Mothers: The Effect of Teen-Age Childbearing on Birth Outcomes in a Dynamic Family Context

Rosenzweig, Mark R., Wolpin, Kenneth I.·1995·Econometrica

Abstract

"In this paper, we formulate a statistical model of dynamic intrafamily investment behavior incorporating endowment heterogeneity and heritability. We use the model's estimates to evaluate alternative estimation procedures that have exploited family and kinship data to obtain estimates of the determinants of human capital." The sequential decision-making framework developed is applied to data on birthweight and gestation of children born to mothers surveyed in the U.S. National Survey of Labor Market Experience youth cohort. "The empirical results imply that the least restrictive statistical formulation, consistent with dynamic behavior and heterogeneity among siblings, fits the data best. All of the estimation procedures that control for a family-specific endowment indicate, however, that the biological effect of having a birth at younger ages is to marginally increase birthweight and to increase fetal growth."

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Metadata

Authors
Rosenzweig, M. R., & Wolpin, K. I.
Venue
Econometrica
Publisher
JSTOR
Published
1995-03
Volume
63
Issue
2
Pages
303
ISSN
0012-9682 (ISSN-L)
OpenAlex
W1977907968
Cited by
177
References
1
FWCI
11.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sisters, Siblings, and Mothers: The Effect of Teen-Age Childbearing on Birth Outcomes in a Dynamic Family Context. https://app.cochat.ai/papers/10.2307/2951628
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Rosenzweig, M. R., & Wolpin, K. I. (1995). Sisters, Siblings, and Mothers: The Effect of Teen-Age Childbearing on Birth Outcomes in a Dynamic Family Context. Econometrica. https://doi.org/10.2307/2951628

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.