Grants per year
Personal profile
Research Interests
Sociologist Julia Behrman’s research explores the relationship between inequality in educational opportunity and demographic processes, with emphasis on fertility and family formation. Much of her work is motivated by a central question: How does family background shape educational opportunities, and in turn, how does education shape fertility, family formation, and the intergenerational transmission of inequality? Her work takes an international comparative perspective that focuses on contexts in sub-Saharan Africa and South Asia undergoing rapid economic, social, and demographic change. More recent work has explored the interplay between international migration and family change among migrants from high-fertility African and Asian countries to lower-fertility European countries.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Sociology, PhD, New York University
… → 2017
Sociology, MA, New York University
… → 2014
Anthropology & Development, MSc, The London School of Economics and Political Science
… → 2008
Sociology, BA, Williams College
… → 2006
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Collaborations and top research areas from the last five years
Grants
- 1 Finished
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Collaborative Research: International Migration and Fertility: Towards a Multidimensional Understanding
Behrman, J. A. (PD/PI)
8/1/19 → 8/31/23
Project: Research project
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Demarcation and Difference: Language and Indigenous Self-Identity in Latin America
Rodríguez-Cáceres, A. & Behrman, J., Jan 1 2024, In: Socius. 10Research output: Contribution to journal › Article › peer-review
Open Access -
Fear among Hispanic and Non-Hispanic White Youth in Texas during a Period of Punitive Immigration Policies (2009–2017)
Mark, N. D. E., Weitzman, A. & Behrman, J., Jan 1 2024, In: Socius. 10Research output: Contribution to journal › Article › peer-review
Open Access -
Ideal Family Size and Reproductive Orientations: An Exploration of Change Over Time in the United States
Behrman, J. A., Oct 1 2024, In: Demography. 61, 5, p. 1535-1557 23 p.Research output: Contribution to journal › Article › peer-review
Open Access -
State-Level Immigrant Policies and Ideal Family Size in the United States
Behrman, J. A. & Weitzman, A., Jun 2024, In: Population and Development Review. 50, 2, p. 375-401 27 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A brief report on the COVID-19 pandemic and ideal family size in the United States
Behrman, J., Apr 2023, In: Journal of Marriage and Family. 85, 2, p. 645-656 12 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations
Datasets
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Gender and Wealth in Demographic Research: A Research Brief on a New Method and Application
Shiffer-Sebba, D. (Creator) & Behrman, J. (Creator), ICPSR - Interuniversity Consortium for Political and Social Research, 2020
DOI: 10.3886/e124922v1, https://www.openicpsr.org/openicpsr/project/124922/version/V1/view
Dataset
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Replication Data for: Gender and Wealth in Demographic Research: A Research Brief on a New Method and Application.
Behrman, J. (Creator) & Shiffer-Sebba, D. (Creator), Harvard Dataverse, 2022
DOI: 10.7910/dvn/a8mnoc, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/A8MNOC
Dataset
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Learning Inequality in Francophone Africa: School Quality and the Educational Achievement of Rich and Poor Children
Gruijters, R. J. (Creator) & Behrman, J. A. (Creator), SAGE Journals, 2020
DOI: 10.25384/sage.c.4985927, https://sage.figshare.com/collections/Learning_Inequality_in_Francophone_Africa_School_Quality_and_the_Educational_Achievement_of_Rich_and_Poor_Children/4985927
Dataset
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Replication Data for: Gender and Wealth in Demographic Research: A Research Brief on a New Method and Application
Behrman, J. A. (Creator) & Shiffer-Sebba, D. (Creator), Harvard Dataverse, 2021
DOI: 10.7910/dvn/zokyop, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/ZOKYOP
Dataset