Research

Working Papers

How Occupations Become Gendered: Social Learning and the Long-Run Evolution of Women's Work

[Job Market Paper] Draft Coming Soon

Abstract: This paper studies how social learning about non-wage amenities shapes occupational gender segregation. I develop an equilibrium model of occupational choice in which women are imperfectly informed about occupational amenities and learn from their own work experience and that of earlier cohorts. Temporary shocks to the demand for women’s labor induce entry into new occupations. Entrants who discover favorable amenities and remain employed transmit information to subsequent cohorts, allowing occupations to continue to feminize. I test the implications of the model using variation in exposure to the World War II draft across local occupations. Occupation-by-county cells that lost more men to the draft had greater employment of women concentrated in occupations with higher female-valued amenities, including low physical demands and greater schedule flexibility. Consistent with the role of social learning, women too young to respond directly to wartime labor demand sorted into occupations with greater female-valued amenities in which their older sisters and female neighbors remained employed. Model simulations show that absent temporary shocks that induce women’s entry into untested occupations, occupational gendering would proceed more slowly as beliefs take longer to converge to true values of non-wage amenities.

Keys to Upward Mobility: Typewriter Adoption and Women's Economic Outcomes

Revise & Resubmit (Second Round), American Economic Review

Abstract: Workplace technological changes were instrumental in creating new tasks for women over the last century. This paper studies the adoption of the typewriter into US workplaces. Exploiting exogenous variation in typist demand across sectors, I document that the typewriter increased women’s labor force participation, leading to lower rates of marriage and fertility. These developments stemmed from a transition of White women from households into office work and an indirect crowding-in effect drawing Black women into domestic services. Acting as a “meeting technology,” the typewriter reshaped social interactions, enabling White women to marry above their socioeconomic backgrounds and achieve upward mobility.

Presentations: NBER Development of the American Economy SI (2025), Opportunity Insights Conference (2025), Paris School of Economics Economic History Seminar, Stanford Institute for Theoretical Economics Gender Conference (2024), EHA Annual Conference (2024), Cliometric Conference (2024), Chicago Federal Reserve, Harvard Graduate Economic History Workshop, Yale Graduate Economic History Workshop, Stanford Graduate Economic History Workshop

Featured in: Marginal Revolution, The Argument Podcast, National Affairs

Marriage and the Intergenerational Mobility of Women: Evidence from Marriage Certificates 1850–1920

with Katherine Eriksson, Gregory Niemesh, and Jacqueline Craig

Abstract: We document that women’s economic mobility improved nearly a century before married women gained broad labor market opportunities. Using Massachusetts marriage registers linked to U.S. censuses (1850–1920), we create new father–child links for women to estimate intergenerational mobility and assortative mating, overcoming a key historical linkage barrier. Estimates from a structural marriage market model suggest assortative mating fell 61% from 1850–1870 to 1900–1920. Counterfactuals imply women’s mobility would have been far lower absent the decline in assortative mating. Had late cohorts faced early cohort sorting, the rank–rank slope between a woman’s father and husband would have been 2.5 times higher.

Publications

Finding John Smith: Using Extra Information for Historical Record Linkage

with Ran Abramitzky, Leah Boustan, Harriet Brookes Gray, Katherine Eriksson, Santiago Pérez, Hannah Postel, and Noah Simon

Explorations in Economic History , 2026

Abstract: We introduce a new rule-based linking algorithm for historical Census records. We augment earlier ABE algorithms based on name, age and place of birth (Abramitzky, Boustan, Eriksson, 2012), with five matching characteristics – middle initial, county of residence, and spouse and parents’ names. Relative to basic ABE, ABE-Extra Information (“ABE-EI”) greatly increases match rates, improves accuracy and is similarly representative of the population on most attributes, with geographic mobility being one important exception. Relative to machine learning algorithms, ABE-EI has somewhat lower match rates, similar accuracy, improved representativeness, and offers full replicability.

Selected Works in Progress

The Black-White Mobility Gap: The Role of Religious Institutions in the US

with Nicole Saito

Funded by Templeton Trust Religion and Development Grant

Causes and Consequences of Gendered Medical Specialties

Funded by the Russell Sage Foundation

Gendered Employment Programs and the Structural Transformation of Women's Labor

Funded by the Russell Sage Foundation

Published Dataset