The Trouble with Pink and Blue, Gender expression, stigma, and health among U.S. children and adolescents

Abstract: Dr. Gordon will offer a conceptual model for understanding gender expression and health and illustrate this model with examples from recent research on gender nonconformity, school-based violence and bullying, and selected health outcomes in samples of U.S. high school students and young adults.

FP3.0: Increasing the uptake of Long-Acting Reversible Contraceptives (LARCs) among adolescent females and young women in Cameroon

In sub-Saharan Africa, 25% of teenagers have started childbearing (ICF, 2015). While young women describe many of these births as planned and intentional, women under the age of 20 also have the greatest percentage of mistimed/unintended pregnancies compared to all other age groups. For example, in Cameroon, more than 30% of the births to this group were unwanted or wanted later (DHS 2011). Low age at first birth has a significant impact on the spacing of births and timing of future pregnancies. It may also reduce accumulation of human capital for both the mother and the child.

Co-sponsored with the UCLA Luskin Senior Fellows Speaker Series 

Social Science in the Age of Genomics

The cost of genetic information has been dropping at a rate faster than that of Moore's law in microcomputing.  As a result, the science of genetic prediction has improved by leaps and bounds in recent years, and with it has emerged a novel field: sociogenomics.  Sociogenomics seeks to integrate genetic and environmental information to obtain a more robust, complete picture of the causes of human behavior.  This talk will highlight some recent examples of sociogenomic research, touching upon issues such as adolescent peer effects, racial discrimination, assortative mating, and fertility patterns.  The talk will conclude by discussing the social and policy implications of genetic prediction.   

Co-sponsored with the Public Policy and Applied Social Science Seminar Series 

Making Sense of Sensitivity: Extending Omitted Variable Bias

We extend the omitted variable bias framework with a suite of tools for sensitivity analysis in regression models that: (i) does not require assumptions about the treatment assignment nor the nature of confounders; (ii) naturally handles multiple confounders, possibly acting non-linearly; (iii) exploits expert knowledge to bound sensitivity parameters; and, (iv) can be easily computed using only standard regression results. In particular, we introduce two novel sensitivity measures suited for routine reporting. The robustness value describes the minimum strength of association unobserved confounding would need to have, both with the treatment and the outcome, to change the research conclusions. The partial R2 of the treatment with the outcome shows how strongly confounders explaining all the residual outcome variation would have to be associated with the treatment to eliminate the estimated effect. Next, we offer graphical tools for elaborating on problematic confounders, examining the sensitivity of point estimates, t-values, as well as “extreme scenarios”. Finally, we describe problems with a common “benchmarking” practice and introduce a novel procedure to instead formally bound the strength of confounders based on comparison to observed covariates. We apply these methods to a running example that estimates the effect of exposure to violence on attitudes toward peace.

Immigration Restrictions as Active Labor Market Policy: Evidence from the Mexican Bracero Exclusion

An important class of active labor market policy has received little impact evaluation: immigration barriers intended to raise wages and employment by shrinking labor supply. Theories of endogenous technical advance raise the possibility of limited or even perverse impact. We study a natural policy experiment: the exclusion of almost half a million Mexican bracero farm workers from the United States to improve farm labor market conditions. With novel labor market data we measure state-level exposure to exclusion and model the absent changes in technology or crop mix. We fail to reject zero labor market impact, inconsistent with this model.

Co-sponsored with the Public Policy and Applied Social Sciences Seminar 

Abortion utilization in Ohio’s changing legislative context

Changes in Ohio, most notably legislation and policy changes since 2011, likely have impacted women’s access to abortion. Many abortion clinics in Ohio have closed in the past seven years, and several others are currently engaged in litigation and are at risk of closure. Clinic closures influence the distance that women travel when seeking abortion. Coupled with the impact of an Ohio law that mandates a 24-hour waiting period after a woman’s initial abortion consultation, loss of a nearby clinic may put abortion out of reach for many women. Other legislation limits where abortions can and cannot be performed and to what gestational stage abortions are performed. This presentation will provide preliminary findings about population-level shifts in abortion utilization, with special attention to change over time, geographic variation, and groups of women who may be underserved.

Co-sponsored with The Bixby Center