California Center for Population Research

Welcome and Introductions
2019-10-02 12:00 - 13:30 (America/Los_Angeles) | 4240 Public Affairs Bldg
Please come join us to learn all about the California Center for Population Research!
This will be the kick-off event for the start of the upcoming 2019-2020 CCPR Seminar Series.

Big Data for Big Social Issues
2019-08-01 13:00 - 18:00 | UCLA Neuroscience Research Building Auditorium (NRB 132)
Big Data for Big Social Issues
Summer Institute in Computational Social Science Panel: 1:00pm – 2:45pm
Prof. John Friedman, Brown University: “Income Inequality and Social Mobility: What Can We Learn from Big Data?” 3:00pm-5:00pm
Reception 5:00-6:00pm
Click here to view a recording of the talk
A defining feature of the American Dream is upward income mobility — the ideal that children have equal opportunities to succeed in life, regardless of the circumstances of their birth. Prof. Friedman will discuss his research using large administrative datasets to uncover where opportunity lacks in America, and what policymakers and civic leaders can do about it to revive the American Dream for future generations.

Summer Institute in Computational Social Science Panel Presentation
2019-06-21 14:00 - 18:00 | Luskin Conference Center Laureate Room
Summer Institute in Computational Social Science Panel Presentation
Luskin Conference Center Laureate Room

2:00pm – 3:15pm Digital Demography

Prof. Dennis Feehan, UC Berkeley and Prof. Ka-Yuet Liu, UCLA

3:30pm – 4:45pm Computational Causal Inference

Prof. Judea Pearl, UCLA and Prof. Sam Pimentel, UC Berkeley
Reception 5:00pm – 6:00pm

Summer Institute in Computational Social Science
2019-06-17 - 2019-06-28 | CCPR Seminar Room, 4240 Public Affairs Building, Los Angeles, CA, 90095, United States
The purpose of the Summer Institute is to bring together graduate students, postdoctoral researchers, and early career faculty interested in computational social science. The Summer Institute is open to both social scientists (broadly conceived) and data scientists (broadly conceived).

Second Annual Robert Mare Student Lectureship: Carolina Arteaga, PhD (c) Economics, UCLA
2019-06-05 12:00 - 13:30 | 4240 Public Affairs Bldg
Title: Essays in Education and Crime in Colombia
Abstract: This dissertation contains three essays in applied microeconomics. In the first chapter paper I test whether the return to college education is the result of human capital accumulation or instead reflects the fact that attending college signals higher ability to employers. The second chapter provides evidence that parental incarceration increases children’s educational attainment. Finally, in the third chapter I derive a new expression that extends the Local Average Treatment Effect concept, to a setting with two sources of unobserved treatment heterogeneity.

Workshop: Getting The Data Yourself - A Web Scraping Code Through
2019-05-29 12:00 - 13:30 | 4240 Public Affairs Bldg
Title:
Getting The Data Yourself: A Web Scraping Code Through
Location:
May 29, 2019 @ 12:00-1:30 PM
4240 Public Affairs Building
CCPR Seminar Room
Instructors:
Chad Pickering & Mike Tzen
Content:
We’ll empower CCPR researchers to get the domain-relevant data they want

slides exercise

Pascaline Dupas, Stanford University
2019-05-23 12:00 - 13:30 | CCPR Seminar Room, 4240 Public Affairs Building, Los Angeles, CA, 90095, United States
Title: The Incidence of Public Subsidies to Private Hospitals under Weak Governance: Evidence from India (joint with Radhika Jain)
Abstract: Expanding public health insurance and enlisting private agents for service delivery are common policy strategies to meet the goals of universal health coverage, but there is limited evidence from developing countries to inform their design. This paper, joint with Radhika Jain from Harvard School of Public Health, provides quantitative evidence on how insurance design affects program performance and incidence in the context of a government-funded health insurance program that aims to provide free care to 46 million people in Rajasthan, India. We exploit a policy-induced natural experiment, and use administrative claims linked to patient surveys, to provide the first large-scale evidence of private hospital behavior under public health insurance.
More on Prof. Dupas

Workshop: Getting All Your Research Computing Tools for Summer and Beyond - Hardware and Software
2019-05-22 12:00 - 13:30 | 4240 Public Affairs Bldg
Title:
Getting All Your Research Computing Tools for Summer and Beyond – Hardware and Software
Location:
May 22, 2019 @ 12:00-1:30 PM
4240 Public Affairs Building
CCPR Seminar Room
Instructors:
Matt Lahmann & Mike Tzen
Content:
We’ll get CCPR researchers all the computing tools for a productive summer of data science exploration.
We’ll get you started on computing hardware: personal, terminal, and cluster.
We’ll get you started on software: R, stata, python, etc.
To get the most out of this workshop
1) let us know what type of software / hardware you might need for your upcoming research
2) if you anticipate needing high performance cluster computing, Please start thinking of a CCPR faculty affiliate hoffman2 sponsor that you are working with for your eventual hoffman2 signup
slides

Tomas Jimenez, Stanford University
2019-05-15 12:00 - 13:30 | 4240 Public Affairs Bldg
Title: The Other Side of Assimilation: How Immigrants are Changing American Life
Abstract: The immigration patterns of the last three decades have profoundly changed nearly every aspect of life in the United States. What do those changes mean for the most established Americans—those whose families have been in the country for multiple generations? The Other Side of Assimilation shows that assimilation is not a one-way street. Jiménez explains how established Americans undergo their own assimilation in response to profound immigration-driven ethnic, racial, political, economic, and cultural shifts.
Co-sponsored with the Center for the Study of International Migration and the Race and Ethnicity Sociology Working Group
More on Prof. Jimenez

Brandon Stewart, Princeton University
2019-05-08 12:00 - 13:30 | CCPR Seminar Room, 4240 Public Affairs Building, Los Angeles, CA, 90095, United States
Title: How to Make Causal Inferences Using Texts
Abstract: Texts are increasingly used to make causal inferences: either with the document serving as the treatment or the outcome. We introduce a new conceptual framework to understand all text-based causal inferences, demonstrate fundamental problems that arise when using manual or computational approaches applied to text for causal inference, and provide solutions to the problems we raise. We demonstrate that all text-based causal inferences depend upon a latent representation of the text and we provide a framework to learn the latent representation.
Estimating this latent representation, however, creates new risks: we may unintentionally create a dependency across observations or create opportunities to fish for large effects. To address these risks, we introduce a train/test split framework and apply it to estimate causal effects from an experiment on immigration attitudes and a study on bureaucratic responsiveness. Our work provides a rigorous foundation for text-based causal inferences, connecting two previously disparate literatures. (Joint Work with Egami, Fong, Grimmer and Roberts)
Co-sponsored with the Center for Social Statistics
More on Prof. Stewart

Susan Athey, Stanford University
2019-05-01 12:00 - 13:30 | CCPR Seminar Room, 4240 Public Affairs Building, Los Angeles, CA, 90095, United States
Title: Estimating Heterogeneous Treatment Effects and Optimal Treatment Assignment Policies
Abstract: This talk will review recently developed methods for estimating conditional average treatment effects and optimal treatment assignment policies in experimental and observational studies, including settings with unconfoundedness or instrumental variables. Multi-armed bandits for learning treatment assignment policies will also be considered.
Co-sponsored with the Center for Social Statistics
More on Prof. Athey

Workshop: UCLA IRB Application Process
2019-04-25 14:30 - 15:30
Workshop: UCLA IRB Application Process
Presentation by Moore Rhys
Assistant Director, Education and Quality, Office of the Human Research Protection Program, UCLA
This workshop will provide an overview of the UCLA IRB application process and related policies and procedures.
Learning goals for this workshop include:
1) Understanding when IRB review is required and when it is not
2) Identifying what training is required for conducting human subject research and how to complete it
3) Understanding how to get started in WebIRB
4) Familiarizing yourself with the IRB review process
5) Avoiding common pitfalls on the path to IRB approval
6) Identifying where to go for help
Video Recording

Jennifer Ahern, UC Berkeley
2019-04-24 12:00 - 13:30 | CCPR Seminar Room, 4240 Public Affairs Building, Los Angeles, CA, 90095, United States
Title: Leveraging big data to assess health effects of changes in physical and social environments, and policy and program implementation
Abstract: In the era of big data there are opportunities to answer policy-relevant health questions in ways that are timely and cost-efficient. This talk will describe coordination of health data resources for health monitoring and to address questions about the health effects of policies in California. Examples of health effect assessments, including those related to gun shows and the Mental Health Services Act (MHSA), will be presented.
Dr. Jennifer Ahern, PhD MPH, is Associate Dean for Research and Associate Professor of Epidemiology at University of California, Berkeley, School of Public Health. She examines the effects of the social and physical environment, and programs and policies that alter the social and physical environment, on many aspects of health (e.g., violence, substance use, mental health, and gestational health). Dr. Ahern has a methodological focus to her work, including application of causal inference methods and semi-parametric estimation approaches, aimed at improving the rigor of observational research, and optimizing public health intervention planning. Her research has been supported by a New Innovator Award from the National Institutes of Health (NIH), Office of the Director.
Podcast Recording
More on Prof. Ahern

Yingchun Ji, Shanghai University
2019-04-17 12:00 - 13:30 | 4240 Public Affairs Bldg
Title: Understanding China’s Low Fertility in a Gender and Development Approach
Abstract: Without a surge of new born babies after the Chinese government relaxed the 40-year-long strict one-child family planning policy in 2013 and 2015, the focus of debates regarding China’s declining fertility has shifted from policy to economic and social forces. Different from the mainstream demographers in China, we propose a gender and development approach to understand low fertility in post-reform China. During China’s transition from the socialist planned economy to market economy, the old danwei system collapsed and the public and private spheres are increasingly separating, resulting in women’s intensified work-family conflicts. Emphasizing on women’s dual roles regarding material production and social reproduction, we argue that sustainable fertility, gender equality and economic development can either create a virtuous circle or be trapped in a vicious circle. With a certain degree of gender equality in both the labor market and the private families, adult women can fully exert their talents at work which can both contribute to economic growth, and also empower them at home. This can help them realize their fertility desires. With unsatisfying or uneven gender equality in the two spheres, either some Chinese women can be pushed out of the labor market to have a second child, or young women may choose to focus on personal development, and postpone or forgo marriage/fertility. We also propose a multi-party-participation social mechanism to address the long term low fertility in China, encouraging individual men and women, family, business and government to all share the duty of social reproduction.
Podcast Recording
More on Prof. Ji

CCPR 2019 PAA Practice Session
2019-04-03 14:00 - 15:30 | 4240 Public Affairs Bldg
Please join us to hear our residents interesting research and give feedback for their upcoming PAA presentations.
Presenters:

Amanda Gonzalez, “Do You Need to Pay for Quality Care? Exploring Associations Between Bribes and Out-of-Pocket Expenditures on Quality of Labor and Delivery Care in High Volume Public Health Facilities in Uttar Pradesh, India”
Mary Robbins, “A Development Dud: Is Microcredit in Bangladesh Actually Improving Women’s Lives? A Case Study in Matlab”
Jacob Thomas, “Which Nationalities Have Been Coming the United States Less Since the 2016 Election?”
Amber Villalobos, “The Differential Impact of College on Becoming a Single Parent “
Maria Lucia Yanguas, “One Laptop per Child: Long-Run Evidence From Uruguay”

Leticia Marteleto, UT Austin
2019-04-03 12:00 - 13:30 | 4240 Public Affairs Bldg
Title: Live Births and Fertility amidst the Zika Virus Epidemic in Brazil
Abstract: In late 2015, the Brazilian Ministry of Health classified the increase in congenital malformations associated with the Zika Virus (ZIKV) a public health emergency. The risk of ZIKV-related congenital syndrome posed an exogenous threat to reproductive outcomes that could result in declining numbers of live births and potentially fertility. Using 2014-2016 monthly microdata on live births from the Brazilian Information System on Live Births, in this talk I examine live births and fertility trends amidst the ZIKV epidemic in Brazil. Findings suggest a decline in live births that is stratified across socioeconomic status and geographic lines, especially nine months after the call for pregnancy postponement. While declines in total fertility rates were small, fertility trends estimated by age and socioeconomic status suggest important differences in how Zika might have impacted Brazil’s fertility structure. Further findings using monthly data by municipality suggest that the epidemic resulted in a significant decline in fertility even when controlling for characteristics of the municipality. The findings highlight the importance of understanding how exposure to the risk of a health threat directed at fetuses has led to declines in fertility.
More on Prof. Marteleto

Martha Bailey, University of Michigan
2019-03-20 12:00 - 13:30 | CCPR Seminar Room, 4240 Public Affairs Building, Los Angeles, CA, 90095, United States
Title: Prep School for Poor Kids: The Long-Run Impacts of Head Start on Human Capital and Economic Self-Sufficiency
Abstract: This paper evaluates the long-run effects of Head Start using large-scale, restricted 2000-2013 Census-ACS data linked to date and place of birth in the SSA’s Numident file. Using the county-level rollout of Head Start between 1965 and 1980 and state age-eligibility cutoffs for school entry, we find that participation in Head Start is associated with increases in adult human capital and economic self-sufficiency, including a 0.29-year increase in schooling, a 2.1-percent increase in high-school completion, an 8.7-percent increase in college enrollment, and a 19-percent increase in college completion. These estimates imply sizable, longterm returns to investing in large-scale preschool programs.
More on Prof. Bailey

Lunch Seminar with CEGA-EASST Fellows 3/14/19
2019-03-14 12:30 - 13:30 | 4240 Public Affairs Bldg
Luskin School of Public Affairs and the California Center for Population Research Presents:Lunch Seminar with CEGA-EASST Fellows. Please RSVP here.
March 14, 2019 12:30-1:30pm, Public Affairs Building Room 4240
Muthoni Ng’ang’a, PhD Candidate University of Nairobi
“The Impact of Matching Female Lead Farmers to Female Small-holder Farmers on Agricultural Technology Adoption: Evidence from Kenya”
In Kenya, about 75% of the population live in the rural areas, with agriculture being their main source of livelihood. Agricultural production is however, low due to low adoption of agricultural technology. We hypothesize that in the case of improved cassava varieties, farmers are unaware of their existence as well as their benefits. This study will use Randomized Control Trial to assess the impact of training farmers on high yielding improved cassava varieties on adoption of the technology. Further, evidence has shown that people learn better from each other when they are grouped with people of similar characteristics. The study will therefore, assess the impact of matching female lead farmers with female farmers on adoption of the improved cassava varieties and consequently on the welfare of households where farming decisions are mostly made by female members.
Tewodros Tesemma, Associate Researcher at Ethiopian Development Research Institute (EDRI)
“The Effect of Labeling and Modern Saving Tools in Increasing Savings: Experimental Evidence from Ethiopia”
Digital government-to-beneficiary payments are rapidly becoming popular in many developing countries. Salary-linked accounts are of one of such innovations getting widespread acceptance. In this study, I propose a randomized control trial to test whether labeling of saving accounts affect savings among government employees in urban Ethiopia, who all have access to a salary-linked bank account. Employees in our treatment groups receive one or multiple accounts labeled for different purposes, while those in a control group receive nothing. Moreover, I also investigate whether type of deposit vehicles play significant role in dictating saving behavior.
Grace Mhalu, Research Scientist at Ifakara Health Institute
“Impact of an instructional video on production of diagnostic sputum for tuberculosis case detection in presumptive TB patients in Tanzania.”
Diagnosis and the performance of laboratory testing for the detection of tuberculosis (TB) depends on obtaining adequate sputum samples and the quality of sputum sample collected. For TB diagnosis, presumptive TB cases with coughing for more than two weeks are asked to spontaneously produce sputum from the lungs. However, presumptive TB cases usually have inadequate biological samples or samples with low concentration of TB bacilli because patients often give saliva from the mouth, which decreases sensitivity of the test and results in missed diagnosis. Women in particular are less likely to test smear positive than men possibly because they are less comfortable with sputum expectoration. We aim to evaluate whether showing patients an instructional video on sputum collection increases the quality of sputum samples and TB detection, and to assess whether gender difference in the video and the subject affects sputum quality in a randomized control trial in Tanzania.

Alan Murray, UC Santa Barbara
2019-03-13 12:00 - 13:30 | CCPR Seminar Room, 4240 Public Affairs Building, Los Angeles, CA, 90095, United States
Title: Population Vulnerability and Spatial Analytics
Abstract: There has been a transition from population studies that were relatively data poor to the present day where digital data is plentiful on many fronts. The “Smart City” is fed by sources of information coming from all directions, where sensors observe things about the movement of vehicles and people, infrastructure conditions, air quality, weather, etc. The challenge is to make use of this digital data, and this is precisely the value added offered by a range of big data spatial analytics. This paper examines aspects of population vulnerability, focusing on particular types of risks and hazards in urban areas.
More on Prof. Murray

Eloise Kaizar, Ohio State University
2019-03-12 14:00 - 15:00
Eloise Kaizar, Ohio State University
Randomized controlled trials are often thought to provide definitive evidence on the magnitude of treatment effects. But because treatment modifiers may have a different distribution in a real world population than among trial participants, trial results may not directly reflect the average treatment effect that would follow real world adoption of a new treatment. Recently, weight-based methods have been repurposed to more provide more relevant average effect estimates for real populations. In this talk, I summarize important analytical choices involving what should and should not be borrowed from other applications of weight-based estimators, make evidence-based recommendations about confidence interval construction, and present conjectures about best choices for other aspects of statistical inference.
Eloise Kaizar is Associate Professor of Statistics at The Ohio State University. Her primary research focus is on assessing the effects and safety of medical exposures and interventions, especially those whose effects are heterogeneous across populations or measured with rare event outcomes. As such, she has worked on methodology to combine multiple sources of information relevant to the same broad policy or patient-centered question. She is particularly interested in how data collected via different study designs can contribute complementary information.

Matt Harding, UC Irvine
2019-03-06 12:00 - 13:30 | CCPR Seminar Room, 4240 Public Affairs Building, Los Angeles, CA, 90095, United States
Title: Small steps with Big Data: Using Machine Learning in Resource Economics
Abstract: This talk looks at how recent developments in Big Data and Machine Learning are being used in conjunction with randomized controlled trials and large population level program evaluations to design, implement and measure efforts to change consumer behavior. We will explore the role played by very detailed consumption data (often at 15 minute intervals), as well as recent techniques such as deep learning to help us better understand individual and population behaviors, and which insights from behavioral sciences are effective at changing behaviors in areas such as energy conservation and efficiency.
More on Prof. Harding

Andrés Villarreal, University of Maryland
2019-03-05 15:00 - 16:30 | 4240 Public Affairs Bldg
Title: Immigrants’ Economic Assimilation: Evidence from Matched Administrative Records
Abstract: Immigrants’ ability to succeed in the labor market and achieve economic parity with natives has significant long-term implications for their well-being and that of their children. In this talk I will present findings from two studies examining immigrants’ economic assimilation using a dataset that links respondents of the Survey of Income and Program Participation (SIPP) to their individual tax records. The first study examines the lifetime earnings trajectories of immigrants and measures the extent and speed with which they are able to reduce the earnings gap with natives. Findings from this study address key debates regarding ethnoracial and cohort differences in immigrants’ earnings trajectories. First, we find a racially differentiated pattern of earnings assimilation: black and Hispanic immigrants are less able to catch up with native whites’ earnings compared to white and Asian immigrants, but they are almost able to reach earnings parity with natives of their same race and ethnicity. Second, contrary to previous studies we find no evidence that recent immigrant cohorts are experiencing lower earnings growth. The second study examines immigrants’ job instability. We find that foreign-born men, particularly those who are undocumented, were at higher risk of losing their job and becoming involuntarily underemployed during the Great Recession even after controlling for demographic factors and job characteristics.
More on Prof. Villarreal

Andres Villarreal, University of Maryland
2019-03-05 15:00 - 16:30

Lan Liu, University of Minnesota at Twin Cities
2019-03-05 14:00 - 15:30
Lan Liu, University of Minnesota at Twin Cities
“Parsimonious Regressions for Repeated Measure Analysis”
Abstract: Longitudinal data with repeated measures frequently arises in various
disciplines. The standard methods typically impose a mean outcome model as
a function of individual features, time and their interactions. However,
the validity of the estimators relies on the correct specifications of the
time dependency. The envelope method is recently proposed as a sufficient
dimension reduction (SDR) method in multivariate regressions. In this
paper, we demonstrate the use of the envelope method as a new parsimonious
regression method for repeated measures analysis, where the specification
of the underlying pattern of time trend is not required by the model. We
found that if there is enough prior information to support the
specification of the functional dependency of the mean outcome on time and
if the dimension of the prespecified functional form is low, then the
standard method is advantageous as an efficient and unbiased estimator.
Otherwise, the envelope method is appealing as a more robust and
potentially efficient parsimonious regression method in repeated measure
analysis. We compare the performance of the envelope estimators with the
existing estimators in simulation study and in an application to the China
Health and Nutrition Survey

Workshop: Grad Student Panel Discussing the Causal Toolkit
2019-02-27 14:00 - 15:30 | 4240 Public Affairs Bldg
Title:
Grad Student Panel Discussing the Causal Toolkit
Location:
February 27, 2019, 2:00-3:30 PM
4240 Public Affairs Building
CCPR Seminar Room
Content:
Focusing on the uses of the causal toolkit, several grad students will share a-ha moments and lessons learned from their own applied research. The target audience are grad students and researchers who wish to get a taste of how causal concepts are used. We will start with an open discussion (with audience Q+A) of introductory concepts in causation, emphasizing complementary views and examples. In the second half of the workshop, panelists will present 5 minute talks of a causal-centric research project. The variety of panelists represent how causal concepts have been helpful in: epidemiology, political science, sociology, and statistics.
Panelists:
Paul Brendel
Kirsty Clark
Anton Sobolev
Ashley Blum
Francesca Parente
Pablo Geraldo
Please RSVP below
https://goo.gl/forms/8oHDeu6QgZGVVc4y1

material

Fernando Riosmena, CU Boulder
2019-02-27 12:00 - 13:30 | CCPR Seminar Room, 4240 Public Affairs Building, Los Angeles, CA, 90095, United States
Title: Individual and Neighborhood Vulnerability over the Latin American Immigrant Health Experience
Abstract: The state of Latino health seemingly defies the way in which the historical disadvantages faced by people of color in the United States get under the skin, and how place matters in reflecting or further reproducing these disparities. Hispanics –especially foreign-born individuals with lower socioeconomic statuses– have more favorable health than other race/ethnic groups –notably, U.S.-born non-Hispanic whites– in a limited but very important set of health outcomes such as cardiovascular function, some cancers and mortality across much of the life course.
In this talk, I discuss the mechanisms/phenomena driving the Hispanic immigrant health advantage, which is likely tied to processes of self-selection as well as to protection and resilience likely operating particularly well in heavily-concentrated Latino neighborhoods and enclaves. Throughout, I present my empirical research aimed at disentangling self-selection processes from the protection that immigrants might draw from fellow neighborhood and/or community members. I further discuss these findings in the context of how immigrants adapt in the longer term: these advantages and resilience eventually erode as immigrants spend more time in the United States –as well as across immigrant generations– through a series of processes by which immigrant and Latino vulnerability become somatized.
I conclude by speculating on the likely future of Latino and immigrant health, discussing how the resilience and vulnerability of Latino immigrants might evolve given recent major shifts U.S. immigration and social policies and practices, and due to important changes in the dynamics of migration between Mesoamerica and the United States.
More on Prof. Riosmena

Adeline Lo, Princeton University
2019-02-26 14:00 - 15:00 | 1434A Physics and Astronomy Building
Title: Covariate screening in high dimensional data: applications to forecasting and text data
Abstract: High dimensional (HD) data, where the number of covariates and/or meaningful covariate interactions might exceed the number of observations, is increasing used in prediction in the social sciences. An important question for the researcher is how to select the most predictive covariates among all the available covariates. Common covariate selection approaches use ad hoc rules to remove noise covariates, or select covariates through the criterion of statistical significance or by using machine learning techniques. These can suffer from lack of objectivity, choosing some but not all predictive covariates, and failing reasonable standards of consistency that are expected to hold in most high-dimensional social science data. The literature is scarce in statistics that can be used to directly evaluate covariate predictivity. We address these issues by proposing a variable screening step prior to traditional statistical modeling, in which we screen covariates for their predictivity. We propose the influence (I) statistic to evaluate covariates in the screening stage, showing that the statistic is directly related to predictivity and can help screen out noisy covariates and discover meaningful covariate interactions. We illustrate how our screening approach can removing noisy phrases from U.S. Congressional speeches and rank important ones to measure partisanship. We also show improvements to out-of-sample forecasting in a state failure application. Our approach is applicable via an open-source software package.
Hosted by the Center for Social Statistics
More on Prof. Lo

The Second Sexual & Gender Minority Research Workshop
2019-02-22 | UCLA Faculty Center
Organizer: Ilan Meyer
February 22, 2019
UCLA Faculty Center
The target audience for the Workshop is students, post-docs, and early investigators. Participants will learn about the NIH structure and grant processes, meet NIH Program Officers and extramural researchers who have been successful at obtaining NIH funding, and network with others interested in SGM-related health research.

Jan Van Bavel, University of Leuven
2019-02-20 12:00 - 13:30 | CCPR Seminar Room, 4240 Public Affairs Building, Los Angeles, CA, 90095, United States
Title: The Reversal of the Gender Gap in Education and Family Dynamics in Europe
Abstract: Although men tended to receive more education than women in the past, the gender gap in education has reversed in recent decades in most Western and many non-Western countries. In this talk, I will discuss the main results of a major research project that aimed to investigate the implications of the reversal of the gender gap in advanced education for family life across European countries. I highlight the results about union formation and assortative mating, discuss our findings about union stability as well as about husbands’ and wives’ relative earnings. Finally, I present some first results from research about implications for fertility behavior. To conclude, I will reflect on implications for conventional theories used in family sociology and demography.
Co-sponsored by the Family Working Group
More on Prof. Bavel

Workshop: Tips for Success in Publishing in Peer Review Journals: An Editor's Perspective
2019-02-14 10:00 - 11:00 | 4240 Public Affairs Bldg
Workshop: Tips for Success in Publishing in Peer Review Journals: An Editor’s Perspective
Presentation by Prof. Gilbert Gee
Prof. Gee Dr. Gee is currently the Editor of the Journal of Health and Social Behavior. He has also been a guest editor for Child Development, Asian American and Pacific Islander Nexus Journal, and the Asian American Journal of Psychology.
