This paper examines how legal inclusion shapes immigrant assimilation effort. I study the 1915 Dow v. United States ruling, which classified Arabs as white and thus eligible for naturalization. Using U.S. Census data, I show that Arab children born after 1915 received significantly less foreign-sounding names, with within-family estimates indicating effects comparable to decades of additional parental U.S. exposure. Difference-in-differences analyses relative to Poles and other immigrant groups corroborate these findings. I also provide evidence that, among first-generation immigrants, intermarriage with natives increased following the ruling, while residential integration lagged behind. Importantly, these cultural shifts translated into economic payoffs: post-Dow cohorts with less-foreign names earned about 37 percent higher hourly wages and were significantly less concentrated in immigrant-intensive manufacturing jobs. Finally, I assembled a new corpus of Arab-American newspapers (1890–1940) to study identity debates, offering the first systematic text-based evidence of how migrants internalized legal reclassification. Taken together, these findings show that access to naturalization encouraged and rewarded assimilation—an insight of enduring relevance as contemporary pathways to citizenship narrow worldwide.
🏅 MinE Best Paper Award, European Economic Association Congress
👩🏽🏫 Harvard PE/History Tea, ACES Summer School, Lewis Lab Student Workshop, Boston University Development Group, Harvard Econ History Workshop, ASREC, NBER Race and Stratification Working Group, Harvard Political Economy and Culture Workshop, European Economic Association'25, Economic History Association'25, Brown University Growth Lab Seminar, Immigration, Citizenship, and Intergroup Contact Conference (PSE)
We provide causal evidence of skin tone discrimination in professional football, where performance is directly observed. Using a computer-vision measure of skin tone and a Difference-in-Discontinuities design around near-miss goals, we show that Light-skinned players receive significantly larger boosts in post-match ratings than Tan- and Dark-skinned peers for identical actions. These disparities emerge in both algorithmic and human-assigned evaluations and are concentrated in the subjective component of ratings. Season-level analysis reveals that biased ratings translate into lower market valuations for darker-skinned players, despite equivalent output. Evaluative bias---rather than differential treatment in contracts---drives economic inequality in this high-information labor market.
🥈 Runner-up, Best Paper Award, MENA and Asia Political Methodology
👩🏽🏫 PolMeth MENA, Class for Sports and Society course (NYU AD), Association for Mentoring and Inclusion in Economics (AMIE, 3rd Applied Econ Workshop), ASREC/IRES Graduate Student Workshop, Applied Economics Seminar (PSE), 16th PhD Workshop in Economics (Turin, CCA), Sport Economics Guest Lecture Series (University of Tubingen)
Older peers' enrollment in selective tracks carries limited information about younger students' admission chances---yet substantially influences their choices. Exploiting quasi-random cohort-to-cohort variation in older students' enrollment within high school–program cells in Sweden's centralized admissions system, we find that a one percentage point increase in older peers' selective-track enrollment reduces the probability of ranking that track first by 0.21--0.87 percentage points (8--28% of baseline), with effects concentrated in highly selective tracks. Students shift across tracks rather than away from university. Heterogeneity points to social comparison: same-gender peers exert stronger effects; below-median applicants respond primarily to above-median peers; persisting peers matter more than dropouts. Migrants respond similarly to natives, though their Medicine preferences remain remarkably stable. These results suggest students overweight local signals or hold mistaken beliefs, highlighting contexts where targeted information could better align aspirations with ability.
🇸🇪 The analyses are conducted using registry data from Statistics Sweden, with ethics approval from the Swedish Ethical Review Authority.
👩🏽🏫Petit Séminaire Informel de la Paris School of Economics, Growth Lab (Harvard), Swedish Institute for Social Research Lunch Seminar, Stockholm University Demography Unit Colloquium, Stockholm University Economics Department Lunch Seminar.
Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain (with Laura Pollacci)
This paper examines how academic networks shaped the migration of Eastern European scholars after the fall of the Iron Curtain. Using the Microsoft Academic Knowledge Graph, I map pre-1989 co-authorship networks for over 30,000 academics from Eastern Europe and study their migration up to 2003. The unexpected collapse of the Eastern Bloc provides an exogenous shock to assess how network size and quality affected post-1989 mobility. Results show that larger and higher-quality networks increased migration, operating through two channels: reduced migration costs and stronger quality signals to potential host institutions. Network size mattered more than quality, and effects varied across disciplines depending on exposure to surveillance, language, and reputational barriers.
👩🏽🏫 Doctoral Workshop (UCLouvain), Doctorissimes Conference (PSE), Globalization, Political Economy and Trade Thesis Research Seminar (PSE), CESifo Junior Workshop on Big Data
Using Word Embeddings to Compare the Prevalence of Gender Stereotypes in Major Music Genres from 1958 to 2022 (with Arnault Chatelain, Cameron Herbert, Roxana Hofmann, Maël Lecoursonnais)
This paper presents a content analysis of gender stereotypes in popular song lyrics using word embeddings. We begin by explaining how we curated a novel data set comprising lyrics from popular songs in the US over the past 70 years. We then explain word embeddings, detailing both their nature and their application to our lyric corpus. Subsequently, we present a case study that examines the prevalence of gender stereotypes across various music genres. Our findings showed that while all genres exhibited stereotyping of men and women, the specific content of these stereotypes varied significantly by genre, often in surprising ways, such as that gender stereotypes in hip-hop, often perceived as being distinctly sexist, were rarely stronger in hip-hop than in other genres. Finally, we reflect on the strengths and limitations of using word embeddings to study music lyrics and provide suggestions for their best application to sociological questions.
Submitted to the Bulletin of Sociological Methodology
More updates soon!
Sectarian Identity & Assimilation among Arab Migrants in the US 1880‑1940 (with Benjamin Marx, Hillel Rapoport, and Marco Tabellini)
More updates soon!
Historical Immigration and Innovation in the US: The Role of Germans and the Sociology of Innovation (with Hillel Rapoport, Matte Hartog, and Ricardo Hausmann)
This project aims to study the "sociology of innovation"; an adaptation of the sociology of industry by Granovetter (1998) by focusing on Germans who arrived in the US post the failed German revolution of 1848. The German failed revolution of 1848 marks the dividing line between early industrialization and the industrial revolution. In the Second Industrial Revolution, Germany was a pioneer in chemistry, steel, and machinery. Thus, observing Germans arriving from 1848 onwards, we can study the role of know-how, its transmission mechanisms, what matters for inventors, what happens to occupations of immigrants, what's the role of different skill composition, and quantify the impact on US innovation.
We are using the full sample US historical census, ship lists containing 4 million Germans that arrived in the US from 1850 to 1897 (containing information on occupations at home), yearbooks of R&D labs, and historical patent data (1790-2010).
More updates soon!