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SUMMARY:Martha J. Bailey\, UCLA
DESCRIPTION:Biography: Dr. Martha J. Bailey is a Professor in the Department of Economics at the University of California Los Angeles. She is also a Research Associate at the National Bureau of Economic Research. Her research focuses on issues in labor economics\, demography and health in the United States\, within the long-run perspective of economic history. Dr. Bailey’s work has examined the implications of the diffusion of modern contraception for women’s childbearing\, career decisions\, and the convergence in the gender gap. \nHow Subsidies Affect Contraceptive Use among Low-Income Women in the U.S.: A Randomized Control Trial \n\n\n\n\nThis paper examines how subsidies affect the use of contraceptives among low-income women seeking reproductive health care in the U.S. Study participants were randomized to receive vouchers for contraception\, covering up to 50% or 100% of the lowest-cost\, available long-acting\, reversible contraceptive method (LARC). Women’s choice of method is highly sensitive to price\, with the elasticity of LARC take-up ranging from -2.3 to -3.4. The findings imply that a U.S. policy eliminating out-of-pocket costs for Title X women would reduce pregnancies by 5.4%\, birth rates by 3.5%\, and abortions by 8.1% and save $2.48 billion annually in public expenditures. \n\nThe complete text may be accessed here.
URL:https://ccpr.ucla.edu/event/martha-bailey-ucla/
CATEGORIES:CCPR Seminar
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DTSTART;TZID=America/Los_Angeles:20211110T120000
DTEND;TZID=America/Los_Angeles:20211110T133000
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CREATED:20210910T064439Z
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SUMMARY:Ian Lundberg\, UCLA
DESCRIPTION:Prediction in Social Science: A Tool to Study Inequality in Populations \nBiography: Ian Lundberg is a Postdoctoral Scholar in the Department of Sociology and California Center for Population Research at UCLA. His research develops statistical and machine learning methods to answer new questions about inequality in America. Past work is published or forthcoming in PNAS\, the American Sociological Review\, Demography\, the Journal of Policy Analysis and Management\, Sociological Methodology\, Sociological Methods and Research\, and Socius. This academic year\, Ian is working on an NSF-funded postdoctoral project developing computational methods to study income mobility. In 2022\, he will begin as an Assistant Professor in the Department of Information Science at Cornell University. You can read more at ianlundberg.org.\n \nAbstract: Predictive algorithms could transform methodology in social science\, yet the mapping between prediction and scientific knowledge is not always clear. This talk will address three uses of prediction: (1) predicting outcomes for individual people\, (2) predicting unobserved factual outcomes to describe populations\, and (3) predicting counterfactual outcomes for causal claims. I will argue that prediction of individual-level outcomes is often difficult in social science\, yet predictive algorithms which are imperfect for individuals (1) can nonetheless be useful in support of population-level claims (2 and 3). This framework for the use of prediction is well-suited to the integration of perspectives from social science (defining the population-level quantity to be estimated) and data science (building a predictive model to estimate that quantity). \nYou can access a recording of the presentation here.
URL:https://ccpr.ucla.edu/event/ian-lundberg-ucla/
CATEGORIES:CCPR Seminar
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DTSTART;TZID=America/Los_Angeles:20211117T120000
DTEND;TZID=America/Los_Angeles:20211117T133000
DTSTAMP:20260507T204002
CREATED:20210902T230031Z
LAST-MODIFIED:20211112T184531Z
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SUMMARY:Diana Greene Foster\, University of California\, San Francisco
DESCRIPTION:Biography: Diana Greene Foster\, PhD\, is a demographer who uses quantitative models and analyses to evaluate the effectiveness of family planning policies and the effect of unwanted pregnancy on women’s lives. She is a professor at the University of California\, San Francisco and Director of Research at the UCSF ANSIRH Program. She led the Turnaway Study\, a nationwide longitudinal prospective study of the health and well-being of women who seek abortion including both women who do and do not receive the abortion in the United States. She is currently collaborating with scientists on an NIH-funded Turnaway Study in Nepal. Dr. Foster received her undergraduate degree from UC Berkeley\, her MA and PhD in Demography and Public Policy from Princeton University. She is the author of the 2020 book\, The Turnaway Study: Ten Years\, a Thousand Women and the Consequences of Having – or Being Denied – an Abortion. She is the recipient of the 2021 Harriet B. Presser Award for the study of gender and demography from the Population Association of America. \nConsequences of receiving versus being denied a wanted abortion in the United States \nAbstract: Diana Greene Foster will discuss the context and findings of The Turnaway Study. The Turnaway Study answers the question\, Does abortion hurt women? and the converse\, What are the harms when women are unable to get a wanted abortion? Dr. Foster will review the challenges of studying abortion and what has happened in the absence of rigorous data. She will describe the study design of the Turnaway Study and present its major findings about women’s mental health\, physical health and the wellbeing of their children. She will describe the reasons people give for seeking to end an unwanted pregnancy and what that tells us about whether one can trust women’s decision-making abilities around pregnancy. \n 
URL:https://ccpr.ucla.edu/event/diana-green-foster-university-of-california-san-francisco/
LOCATION:Virtual
CATEGORIES:CCPR Seminar
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