Bio

Bio


Maya Rossin-Slater is an Assistant Professor of Health Research and Policy at Stanford University School of Medicine. She is also a Faculty Fellow at the Stanford Institute for Economic and Policy Research (SIEPR), a Faculty Research Fellow at the National Bureau of Economic Research (NBER) and a Research Affiliate at the Institute of Labor Economics (IZA). She received her Ph.D. in Economics from Columbia University in 2013, and was an Assistant Professor of Economics at the University of California, Santa Barbara from 2013 to 2017, prior to coming to Stanford. Rossin-Slater’s research includes work in health, public, and labor economics. She focuses on issues in maternal and child well-being, family structure and behavior, and policies targeting disadvantaged populations in the United States and other developed countries. She has published and forthcoming articles in a variety of peer-reviewed journals, including the American Economic Review, the Journal of Political Economy, the American Economic Journal: Applied Economics, the Journal of Health Economics, and the Journal of Public Economics.

Academic Appointments


Teaching

2017-18 Courses


Publications

All Publications


  • Paid Family Leave, Fathers' Leave-Taking, and Leave-Sharing in Dual-Earner Households JOURNAL OF POLICY ANALYSIS AND MANAGEMENT Bartel, A. P., Rossin-Slater, M., Ruhm, C. J., Stearns, J., Waldfogel, J. 2018; 37 (1): 10–U44

    Abstract

    Using difference-in-difference and difference-in-difference-in-difference designs, we study California's Paid Family Leave (CA-PFL) program, the first source of government-provided paid parental leave available to fathers in the Unites States. Relative to the pre-treatment mean, fathers of infants in California are 46 percent more likely to be on leave when CA-PFL is available. In households where both parents work, we find suggestive evidence that CA-PFL increases both father-only leave-taking (i.e., father on leave while mother is at work) and joint leave-taking (i.e., both parents on leave at the same time). Effects are larger for fathers of first-born children than for fathers of later-born children.

    View details for DOI 10.1002/pam.22030

    View details for Web of Science ID 000418259000003

    View details for PubMedID 29320808

  • Trends and Disparities in Leave Use under California's Paid Family Leave Program: New Evidence from Administrative Data Bana, S., Bedard, K., Rossin-Slater, M. AMER ECONOMIC ASSOC. 2018: 388–91
  • Family Ruptures, Stress, and the Mental Health of the Next Generation AMERICAN ECONOMIC REVIEW Persson, P., Rossin-Slater, M. 2018; 108 (4-5): 1214–52
  • Family Ruptures, Stress, and the Mental Health of the Next Generation: Reply AMERICAN ECONOMIC REVIEW Persson, P., Rossin-Slater, M. 2018; 108 (4-5): 1256–63
  • Relationship between season of birth, temperature exposure, and later life wellbeing PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA Isen, A., Rossin-Slater, M., Walker, R. 2017; 114 (51): 13447–52

    Abstract

    We study how exposure to extreme temperatures in early periods of child development is related to adult economic outcomes measured 30 y later. Our analysis uses administrative earnings records for over 12 million individuals born in the United States between 1969 and 1977, linked to fine-scale, daily weather data and location and date of birth. We calculate the length of time each individual is exposed to different temperatures in utero and in early childhood, and we estimate flexible regression models that allow for nonlinearities in the relationship between temperature and long-run outcomes. We find that an extra day with mean temperatures above 32 °C in utero and in the first year after birth is associated with a 0.1% reduction in adult annual earnings at age 30. Temperature sensitivity is evident in multiple periods of early development, ranging from the first trimester of gestation to age 6-12 mo. We observe that household air-conditioning adoption, which increased dramatically over the time period studied, mitigates nearly all of the estimated temperature sensitivity.

    View details for DOI 10.1073/pnas.1702436114

    View details for Web of Science ID 000418321600055

    View details for PubMedID 29203654

    View details for PubMedCentralID PMC5754756