New Population Center Working Paper (PSC/PARC): Song, Xi, and Thomas Coleman. 2020. "Using Administrative Big Data to Solve Problems in Social Science and Policy Research." University of Pennsylvania Population Center Working Paper (PSC/PARC), 2020-58.
New Population Center Work Paper (PSC/PARC): Song, Xi 2020. "Multigenerational Social Mobility: A Demographic Approach." University of Pennsylvania Population Center Working Paper (PSC/PARC), 2020-52.
Associate Professor of Sociology
Ph.D., Sociology, University of California Los Angeles, 2015
Xi Song’s major area of research centers on the origin of social inequality from a multigenerational perspective. Her research uses demographic, statistical, and computational tools to study the rise and fall of families in human populations across time and place. She has investigated long-term family and population changes by exploring the values of genealogical microdata. These data sources include historical data compiled from family pedigrees, population registers, administrative certificates, church records, and surname data; and modern longitudinal and cross-sectional data that follow a sample of respondents, their offspring, and descendants prospectively or ask respondents to report information about their family members and relatively retrospectively.
Her previous work has drawn on family genealogies from as many as sixteen generations of imperial and peasant families from 18th--20th century China to explore why families grow, decline, or even die out, and how they maintain, change, and reproduce their social statuses. Her recent work uses U.S. linked historical censuses and contemporary survey data from 1850 to 2015 to illustrate how macro-level social changes in fertility, mortality, and family structure, and micro-level patterns of families’ social mobility jointly lead to persistent inequality across generations.
Her methodological work focuses on developing demographic models based on life tables and Markov chains to predict family dynamics and kinship system in a population, identifying causal mediation mechanisms in social mobility processes, modelling intensive longitudinal data using dyadic and multivariate mixed effects models, and reconciling prospective and retrospective approaches to sociological studies.
Her research has appeared in the American Sociological Review, Annual Review of Sociology, Demography, PNAS, Social Science Research, Sociological Methods and Research, and Sociological Science. Her papers received multiple awards from the American Sociological Association and the International Sociological Association Research Committee on Social Stratification and Mobility. She serves on the editorial boards of the American Journal of Sociology and Research in Social Stratification and Mobility.