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X-WR-CALNAME:California Center for Population Research
X-ORIGINAL-URL:https://ccpr.ucla.edu
X-WR-CALDESC:Events for California Center for Population Research
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TZID:America/Los_Angeles
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191023T080000
DTEND;TZID=America/Los_Angeles:20191024T170000
DTSTAMP:20260504T190330
CREATED:20210223T001926Z
LAST-MODIFIED:20210422T025727Z
UID:10000724-1571817600-1571936400@ccpr.ucla.edu
SUMMARY:Workshop: Data Carpentry for Social Science
DESCRIPTION:Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience\, and its lessons are domain specific\, building on learners’ existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. \nInstructor: Tim Dennis \nLocation: Powell Library
URL:https://ccpr.ucla.edu/event/workshop-data-carpentry-for-social-science/
CATEGORIES:CCPR Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191016T120000
DTEND;TZID=America/Los_Angeles:20191016T133000
DTSTAMP:20260504T190330
CREATED:20190827T230254Z
LAST-MODIFIED:20191014T161714Z
UID:10000540-1571227200-1571232600@ccpr.ucla.edu
SUMMARY:Adriana Lleras-Muney\, UC Los Angeles
DESCRIPTION:Title:”Can Labor Market Discrimination Explain Racial Disparities in Schooling? Evidence from WWII” \nAbstract: Can the racial gap in labor market earnings explain black-white disparities in the schooling of the next generation?  To answer this\, we exploit the large increase in labor demand in markets that received WWII defense industry contracts.  This increase in labor demand combined with a policy that prohibited discrimination by race and ethnicity in the defense industries resulted in significant increases in African American earnings and declines in the racial gap in earnings between 1940 and 1950.  This was achieved largely via occupational upgrading among African Americans into semi-skilled professions.  In contrast with women\, whose progress in the labor market was largely reversed in short order\, this occupational upgrading persisted for African Americans.  We argue that this persistence is consistent with declines in statistical discrimination.  Moreover\, we find that in these same labor markets\, the next generation of African Americans invested relatively more in their human capital\, as measured by greater years of schooling and a decline in the black-white schooling gap. We explore three reasons why reductions in the black white earnings gap might lead to reductions in the black white schooling gap of the next generation.  First\, this would relax the financial constraint faced by many African American families\, allowing their children to remain in school longer.  Second\, occupational upgrading might have increased the returns to human capital among African Americans.  Finally\, there may be political responses that result in changes in public funding and provision of schooling and other public goods that affect the human capital accumulation of the next generation of African Americans.  We find evidence consistent with the first explanation only. We conclude that efforts to further reduce the racial gap in schooling might consider labor market interventions
URL:https://ccpr.ucla.edu/event/laura-lindberg-guttmacher-institute/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/png:https://ccpr.ucla.edu/wp-content/uploads/2019/08/adriana.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191009T120000
DTEND;TZID=America/Los_Angeles:20191009T133000
DTSTAMP:20260504T190330
CREATED:20190827T225436Z
LAST-MODIFIED:20191127T185905Z
UID:10000538-1570622400-1570627800@ccpr.ucla.edu
SUMMARY:Jonathan Daw\, Penn State University
DESCRIPTION:Title: Renal Relationships: Understanding Living Kidney Donor Relationship Patterns \nAbstract: Who do we turn to in times of need? Traditionally\, social support research has shown a strong preference to rely on strong ties in these scenarios – often\, even when weak ties might be better positioned to help. However\, this conclusion has recently been challenged by Small (2017)\, who argues that people often rely on weak ties for emotional support in stressful times\, preferring to avoid more complicated strong ties. This suggests that the types of ties we activate in times of need varies by the situation. In this study\, we apply this framework to the study of living donor kidney transplantation (LDKT)\, effectively asking: How does this behavior differ when the stakes are potentially life and death? Using a variety of primary and secondary datasets\, we compare the distribution of LDKT ties to the distribution of ties who would be likely able to help\, then seek to explain these relative utilization patterns as a function of medical fundamentals\, social/spatial relationships\, and qualitative reasoning invoked by survey respondents. Our preliminary findings show that LDKT patterns are primarily driven by social relationship quality\, and far less by medical fundamentals such as the potential donors’ health or genetic relationship to the patient. \nVideo  \nMore on Prof. Daw
URL:https://ccpr.ucla.edu/event/jonathan-daw-penn-state-university/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/08/Daw.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191002T120000
DTEND;TZID=America/Los_Angeles:20191002T133000
DTSTAMP:20260504T190330
CREATED:20190819T215402Z
LAST-MODIFIED:20190819T215517Z
UID:10000536-1570017600-1570023000@ccpr.ucla.edu
SUMMARY:Welcome and Introductions
DESCRIPTION:Please come join us to learn all about the California Center for Population Research! \nThis will be the kick-off event for the start of the upcoming 2019-2020 CCPR Seminar Series.
URL:https://ccpr.ucla.edu/event/welcome-and-introductions-2/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190801T130000
DTEND;TZID=America/Los_Angeles:20190801T180000
DTSTAMP:20260504T190330
CREATED:20190715T164442Z
LAST-MODIFIED:20220505T185250Z
UID:10000534-1564664400-1564682400@ccpr.ucla.edu
SUMMARY:Big Data for Big Social Issues
DESCRIPTION:Big Data for Big Social Issues \nSummer Institute in Computational Social Science Panel: 1:00pm – 2:45pm \nProf. John Friedman\, Brown University: “Income Inequality and Social Mobility: What Can We Learn from Big Data?” 3:00pm-5:00pm \nReception 5:00-6:00pm \nClick here to view a recording of the talk  \nA 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.
URL:https://ccpr.ucla.edu/event/big-data-for-social-issues-panel/
LOCATION:UCLA Neuroscience Research Building Auditorium (NRB 132)
CATEGORIES:CCPR Conference,CCPR Seminar,CSS Events,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/07/Friedman_Picture-Informal.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190621T140000
DTEND;TZID=America/Los_Angeles:20190621T180000
DTSTAMP:20260504T190330
CREATED:20190612T172854Z
LAST-MODIFIED:20220505T185150Z
UID:10000532-1561125600-1561140000@ccpr.ucla.edu
SUMMARY:Summer Institute in Computational Social Science Panel Presentation
DESCRIPTION:Summer Institute in Computational Social Science Panel Presentation \nLuskin Conference Center Laureate Room \n\n2:00pm – 3:15pm Digital Demography\n\nProf. Dennis Feehan\, UC Berkeley and Prof. Ka-Yuet Liu\, UCLA \n\n3:30pm – 4:45pm Computational Causal Inference \n\nProf. Judea Pearl\, UCLA and Prof. Sam Pimentel\, UC Berkeley \nReception 5:00pm – 6:00pm
URL:https://ccpr.ucla.edu/event/summer-institute-in-computational-social-science-panel-presentation/
LOCATION:Luskin Conference Center Laureate Room
CATEGORIES:CCPR Conference,CCPR Seminar,CSS Events,Divisional Publish
ATTACH;FMTTYPE=image/png:https://ccpr.ucla.edu/wp-content/uploads/2019/06/sicss-e1560360766722.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190617
DTEND;VALUE=DATE:20190629
DTSTAMP:20260504T190330
CREATED:20220425T155902Z
LAST-MODIFIED:20220505T185311Z
UID:10000772-1560729600-1561766399@ccpr.ucla.edu
SUMMARY:Summer Institute in Computational Social Science
DESCRIPTION: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).
URL:https://ccpr.ucla.edu/event/summer-institute-in-computational-social-science/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Conference,CCPR Seminar,CCPR Workshop,CSS Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190605T120000
DTEND;TZID=America/Los_Angeles:20190605T133000
DTSTAMP:20260504T190330
CREATED:20190423T171235Z
LAST-MODIFIED:20190522T213013Z
UID:10000677-1559736000-1559741400@ccpr.ucla.edu
SUMMARY:Second Annual Robert Mare Student Lectureship: Carolina Arteaga\, PhD (c) Economics\, UCLA
DESCRIPTION:Title: Essays in Education and Crime in Colombia \nAbstract: 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.
URL:https://ccpr.ucla.edu/event/first-annual-robert-mare-student-lectureship-2/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/04/Caro-Headshot-409-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190529T120000
DTEND;TZID=America/Los_Angeles:20190529T133000
DTSTAMP:20260504T190330
CREATED:20190426T192416Z
LAST-MODIFIED:20210424T031434Z
UID:10000528-1559131200-1559136600@ccpr.ucla.edu
SUMMARY:Workshop: Getting The Data Yourself - A Web Scraping Code Through
DESCRIPTION:Title:\nGetting The Data Yourself: A Web Scraping Code Through \nLocation:\nMay 29\, 2019 @ 12:00-1:30 PM\n4240 Public Affairs Building\nCCPR Seminar Room \nInstructors:\nChad Pickering & Mike Tzen \nContent:\nWe’ll empower CCPR researchers to get the domain-relevant data they want \n  \nslides exercise
URL:https://ccpr.ucla.edu/event/workshop-getting-the-data-yourself-a-web-scraping-code-through/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Workshop,CSS Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190523T120000
DTEND;TZID=America/Los_Angeles:20190523T133000
DTSTAMP:20260504T190330
CREATED:20190225T190232Z
LAST-MODIFIED:20190227T192441Z
UID:10000661-1558612800-1558618200@ccpr.ucla.edu
SUMMARY:Pascaline Dupas\, Stanford University
DESCRIPTION:Title: The Incidence of Public Subsidies to Private Hospitals under Weak Governance: Evidence from India (joint with Radhika Jain) \nAbstract: 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.  \nMore on Prof. Dupas
URL:https://ccpr.ucla.edu/event/13868/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/02/Dupas_photo-resized-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190522T120000
DTEND;TZID=America/Los_Angeles:20190522T133000
DTSTAMP:20260504T190330
CREATED:20190426T193825Z
LAST-MODIFIED:20210424T031420Z
UID:10000530-1558526400-1558531800@ccpr.ucla.edu
SUMMARY:Workshop: Getting All Your Research Computing Tools for Summer and Beyond - Hardware and Software
DESCRIPTION:Title:\nGetting All Your Research Computing Tools for Summer and Beyond – Hardware and Software \nLocation:\nMay 22\, 2019 @ 12:00-1:30 PM\n4240 Public Affairs Building\nCCPR Seminar Room \nInstructors:\nMatt Lahmann & Mike Tzen \nContent:\nWe’ll get CCPR researchers all the computing tools for a productive summer of data science exploration.\nWe’ll get you started on computing hardware: personal\, terminal\, and cluster.\nWe’ll get you started on software: R\, stata\, python\, etc.\nTo get the most out of this workshop\n1) let us know what type of software / hardware you might need for your upcoming research\n2) 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 \nslides
URL:https://ccpr.ucla.edu/event/workshop-getting-research-computing/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Workshop,CSS Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190515T120000
DTEND;TZID=America/Los_Angeles:20190515T133000
DTSTAMP:20260504T190330
CREATED:20190423T153546Z
LAST-MODIFIED:20190506T164918Z
UID:10000676-1557921600-1557927000@ccpr.ucla.edu
SUMMARY:Tomas Jimenez\, Stanford University
DESCRIPTION:Title: The Other Side of Assimilation: How Immigrants are Changing American Life \nAbstract: 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. \nCo-sponsored with the Center for the Study of International Migration and the Race and Ethnicity Sociology Working Group \nMore on Prof. Jimenez \n 
URL:https://ccpr.ucla.edu/event/tomas-jimenez-stanford-university/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/04/tomas.jimenez2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190508T120000
DTEND;TZID=America/Los_Angeles:20190508T133000
DTSTAMP:20260504T190330
CREATED:20180828T015938Z
LAST-MODIFIED:20190506T170218Z
UID:10000639-1557316800-1557322200@ccpr.ucla.edu
SUMMARY:Brandon Stewart\, Princeton University
DESCRIPTION:Title: How to Make Causal Inferences Using Texts \nAbstract: 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. \nEstimating 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) \nCo-sponsored with the Center for Social Statistics \nMore on Prof. Stewart
URL:https://ccpr.ucla.edu/event/brandon-stewart-princeton-university/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,CSS Events,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Stewart_Brandon-e1551121773302.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190501T120000
DTEND;TZID=America/Los_Angeles:20190501T133000
DTSTAMP:20260504T190330
CREATED:20180828T015320Z
LAST-MODIFIED:20190429T165951Z
UID:10000638-1556712000-1556717400@ccpr.ucla.edu
SUMMARY:Susan Athey\, Stanford University
DESCRIPTION:Title: Estimating Heterogeneous Treatment Effects and Optimal Treatment Assignment Policies \nAbstract: 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. \nCo-sponsored with the Center for Social Statistics \nMore on Prof. Athey \n  \n 
URL:https://ccpr.ucla.edu/event/susan-athey-stanford-university/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,CSS Events,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/susan-athey.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190425T143000
DTEND;TZID=America/Los_Angeles:20190425T153000
DTSTAMP:20260504T190330
CREATED:20190318T170935Z
LAST-MODIFIED:20210422T015804Z
UID:10000671-1556202600-1556206200@ccpr.ucla.edu
SUMMARY:Workshop: UCLA IRB Application Process
DESCRIPTION:Workshop: UCLA IRB Application Process \nPresentation by Moore Rhys  \nAssistant Director\, Education and Quality\, Office of the Human Research Protection Program\, UCLA \nThis workshop will provide an overview of the UCLA IRB application process and related policies and procedures. \nLearning goals for this workshop include: \n1)      Understanding when IRB review is required and when it is not \n2)      Identifying what training is required for conducting human subject research and how to complete it \n3)      Understanding how to get started in WebIRB \n4)      Familiarizing yourself with the IRB review process \n5)      Avoiding common pitfalls on the path to IRB approval \n6)      Identifying where to go for help \nVideo Recording
URL:https://ccpr.ucla.edu/event/workshop-ucla-irb-application-process/
CATEGORIES:CCPR Workshop,Divisional Publish
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190424T120000
DTEND;TZID=America/Los_Angeles:20190424T133000
DTSTAMP:20260504T190330
CREATED:20190311T163138Z
LAST-MODIFIED:20190521T184411Z
UID:10000669-1556107200-1556112600@ccpr.ucla.edu
SUMMARY:Jennifer Ahern\, UC Berkeley
DESCRIPTION:Title: Leveraging big data to assess health effects of changes in physical and social environments\, and policy and program implementation \nAbstract: 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. \nDr. 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. \nPodcast Recording \nMore on Prof. Ahern
URL:https://ccpr.ucla.edu/event/jennifer-ahern-uc-berkeley/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/03/ahern.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190417T120000
DTEND;TZID=America/Los_Angeles:20190417T133000
DTSTAMP:20260504T190330
CREATED:20190325T170533Z
LAST-MODIFIED:20190521T184457Z
UID:10000675-1555502400-1555507800@ccpr.ucla.edu
SUMMARY:Yingchun Ji\, Shanghai University
DESCRIPTION:Title: Understanding China’s Low Fertility in a Gender and Development Approach \nAbstract: 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. \nPodcast Recording \nMore on Prof. Ji
URL:https://ccpr.ucla.edu/event/yingchun-ji-shanghai-university/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/03/Yingchun-Ji.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190403T140000
DTEND;TZID=America/Los_Angeles:20190403T153000
DTSTAMP:20260504T190330
CREATED:20190321T170203Z
LAST-MODIFIED:20190321T170203Z
UID:10000673-1554300000-1554305400@ccpr.ucla.edu
SUMMARY:CCPR 2019 PAA Practice Session
DESCRIPTION:Please join us to hear our residents interesting research and give feedback for their upcoming PAA presentations. \nPresenters: \n\nAmanda 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”\nMary Robbins\, “A Development Dud: Is Microcredit in Bangladesh Actually Improving Women’s Lives? A Case Study in Matlab”\nJacob Thomas\, “Which Nationalities Have Been Coming the United States Less Since the 2016 Election?”\nAmber Villalobos\, “The Differential Impact of College on Becoming a Single Parent “\n Maria Lucia Yanguas\, “One Laptop per Child: Long-Run Evidence From Uruguay”
URL:https://ccpr.ucla.edu/event/ccpr-2019-paa-practice-session/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2016/02/1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190403T120000
DTEND;TZID=America/Los_Angeles:20190403T133000
DTSTAMP:20260504T190330
CREATED:20190131T172807Z
LAST-MODIFIED:20190321T164006Z
UID:10000655-1554292800-1554298200@ccpr.ucla.edu
SUMMARY:Leticia Marteleto\, UT Austin
DESCRIPTION:Title: Live Births and Fertility amidst the Zika Virus Epidemic in Brazil \nAbstract: 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. \nMore on Prof. Marteleto
URL:https://ccpr.ucla.edu/event/leticia-marteleto-university-of-texas-at-austin/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/01/leticia_marteleto_profile_image.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190320T120000
DTEND;TZID=America/Los_Angeles:20190320T133000
DTSTAMP:20260504T190330
CREATED:20181126T182037Z
LAST-MODIFIED:20190311T181535Z
UID:10000522-1553083200-1553088600@ccpr.ucla.edu
SUMMARY:Martha Bailey\, University of Michigan
DESCRIPTION:Title: Prep School for Poor Kids: The Long-Run Impacts of Head Start on Human Capital and Economic Self-Sufficiency \nAbstract: 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. \nMore on Prof. Bailey
URL:https://ccpr.ucla.edu/event/martha-bailey-university-of-michigan/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/11/image.1542755809319.jpg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190314T123000
DTEND;TZID=America/Los_Angeles:20190314T133000
DTSTAMP:20260504T190330
CREATED:20190305T214301Z
LAST-MODIFIED:20190305T214301Z
UID:10000667-1552566600-1552570200@ccpr.ucla.edu
SUMMARY:Lunch Seminar with CEGA-EASST Fellows 3/14/19
DESCRIPTION:Luskin School of Public Affairs and the California Center for Population Research Presents:Lunch Seminar with CEGA-EASST Fellows. Please RSVP here. \nMarch 14\, 2019 12:30-1:30pm\, Public Affairs Building Room 4240 \nMuthoni Ng’ang’a\, PhD Candidate University of Nairobi \n“The Impact of Matching Female Lead Farmers to Female Small-holder Farmers on Agricultural Technology Adoption: Evidence from Kenya” \nIn 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. \nTewodros Tesemma\, Associate Researcher at Ethiopian Development Research Institute (EDRI) \n“The Effect of Labeling and Modern Saving Tools in Increasing Savings: Experimental Evidence from Ethiopia” \nDigital 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. \nGrace Mhalu\, Research Scientist at Ifakara Health Institute \n“Impact of an instructional video on production of diagnostic sputum for tuberculosis case detection in presumptive TB patients in Tanzania.” \nDiagnosis 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.
URL:https://ccpr.ucla.edu/event/lunch-seminar-with-cega-easst-fellows-3-14-19/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:Divisional Publish,Other Conferences
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190313T120000
DTEND;TZID=America/Los_Angeles:20190313T133000
DTSTAMP:20260504T190330
CREATED:20180828T013953Z
LAST-MODIFIED:20190204T185508Z
UID:10000637-1552478400-1552483800@ccpr.ucla.edu
SUMMARY:Alan Murray\, UC Santa Barbara
DESCRIPTION:Title: Population Vulnerability and Spatial Analytics \nAbstract: 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. \nMore on Prof. Murray
URL:https://ccpr.ucla.edu/event/alan-murray-uc-santa-barbara/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Alan_Murray.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190312T140000
DTEND;TZID=America/Los_Angeles:20190312T150000
DTSTAMP:20260504T190330
CREATED:20210424T023548Z
LAST-MODIFIED:20210424T023548Z
UID:10000735-1552399200-1552402800@ccpr.ucla.edu
SUMMARY:Eloise Kaizar\, Ohio State University
DESCRIPTION:Eloise Kaizar\, Ohio State University \nRandomized 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. \nEloise 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.
URL:https://ccpr.ucla.edu/event/eloise-kaizar-ohio-state-university/
CATEGORIES:CSS Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190306T120000
DTEND;TZID=America/Los_Angeles:20190306T133000
DTSTAMP:20260504T190330
CREATED:20180828T013701Z
LAST-MODIFIED:20190204T185622Z
UID:10000636-1551873600-1551879000@ccpr.ucla.edu
SUMMARY:Matt Harding\, UC Irvine
DESCRIPTION:Title: Small steps with Big Data: Using Machine Learning in Resource Economics \nAbstract: 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. \nMore on Prof. Harding 
URL:https://ccpr.ucla.edu/event/matt-harding-uc-irvine/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/08/Harding_Matthew.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190305T150000
DTEND;TZID=America/Los_Angeles:20190305T163000
DTSTAMP:20260504T190330
CREATED:20190131T171533Z
LAST-MODIFIED:20190227T182129Z
UID:10000654-1551798000-1551803400@ccpr.ucla.edu
SUMMARY:Andrés Villarreal\, University of Maryland
DESCRIPTION:Title: Immigrants’ Economic Assimilation: Evidence from Matched Administrative Records \nAbstract: 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. \nMore on Prof. Villarreal
URL:https://ccpr.ucla.edu/event/andres-villarreal-university-of-maryland-2/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/01/Andres-Villarreal.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190305T150000
DTEND;TZID=America/Los_Angeles:20190305T163000
DTSTAMP:20260504T190330
CREATED:20190129T221633Z
LAST-MODIFIED:20190227T181639Z
UID:10000653-1551798000-1551803400@ccpr.ucla.edu
SUMMARY:Andres Villarreal\, University of Maryland
DESCRIPTION:Title: Immigrants’ Economic Assimilation: Evidence from Matched Administrative Records \nAbstract: 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. \nMore on Prof. Villarreal
URL:https://ccpr.ucla.edu/event/andres-villarreal-university-of-maryland/
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2019/01/Andres-Villarreal.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190305T140000
DTEND;TZID=America/Los_Angeles:20190305T153000
DTSTAMP:20260504T190330
CREATED:20190228T181153Z
LAST-MODIFIED:20190228T181153Z
UID:10000665-1551794400-1551799800@ccpr.ucla.edu
SUMMARY:Lan Liu\, University of Minnesota at Twin Cities
DESCRIPTION:Lan Liu\, University of Minnesota at Twin Cities \n“Parsimonious Regressions for Repeated Measure Analysis”  \nAbstract: Longitudinal data with repeated measures frequently arises in various\ndisciplines. The standard methods typically impose a mean outcome model as\na function of individual features\, time and their interactions. However\,\nthe validity of the estimators relies on the correct specifications of the\ntime dependency. The envelope method is recently proposed as a sufficient\ndimension reduction (SDR) method in multivariate regressions. In this\npaper\, we demonstrate the use of the envelope method as a new parsimonious\nregression method for repeated measures analysis\, where the specification\nof the underlying pattern of time trend is not required by the model. We\nfound that if there is enough prior information to support the\nspecification of the functional dependency of the mean outcome on time and\nif the dimension of the prespecified functional form is low\, then the\nstandard method is advantageous as an efficient and unbiased estimator.\nOtherwise\, the envelope method is appealing as a more robust and\npotentially efficient parsimonious regression method in repeated measure\nanalysis. We compare the performance of the envelope estimators with the\nexisting estimators in simulation study and in an application to the China\nHealth and Nutrition Survey
URL:https://ccpr.ucla.edu/event/lan-liu-university-of-minnesota-at-twin-cities/
CATEGORIES:CSS Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190227T140000
DTEND;TZID=America/Los_Angeles:20190227T153000
DTSTAMP:20260504T190330
CREATED:20190215T192913Z
LAST-MODIFIED:20210424T031402Z
UID:10000659-1551276000-1551281400@ccpr.ucla.edu
SUMMARY:Workshop: Grad Student Panel Discussing the Causal Toolkit
DESCRIPTION:Title:\nGrad Student Panel Discussing the Causal Toolkit \nLocation:\nFebruary 27\, 2019\, 2:00-3:30 PM\n4240 Public Affairs Building\nCCPR Seminar Room \nContent:\nFocusing 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. \nPanelists: \nPaul Brendel\nKirsty Clark\nAnton Sobolev\nAshley Blum\nFrancesca Parente\nPablo Geraldo \nPlease RSVP below\nhttps://goo.gl/forms/8oHDeu6QgZGVVc4y1 \n  \nmaterial
URL:https://ccpr.ucla.edu/event/workshop-grad-student-panel-causal/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Workshop,CSS Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190227T120000
DTEND;TZID=America/Los_Angeles:20190227T133000
DTSTAMP:20260504T190330
CREATED:20181126T180922Z
LAST-MODIFIED:20190225T212704Z
UID:10000521-1551268800-1551274200@ccpr.ucla.edu
SUMMARY:Fernando Riosmena\, CU Boulder
DESCRIPTION:Title: Individual and Neighborhood Vulnerability over the Latin American Immigrant Health Experience \nAbstract: 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. \nIn 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. \nI 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. \nMore on Prof. Riosmena
URL:https://ccpr.ucla.edu/event/fernando-riosmena-university-of-colorado/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,Divisional Publish
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2018/10/0f5dbe60aba4fb11118f4600ef21cb64332df833.jpeg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190226T140000
DTEND;TZID=America/Los_Angeles:20190226T150000
DTSTAMP:20260504T190330
CREATED:20190225T195602Z
LAST-MODIFIED:20190225T201212Z
UID:10000663-1551189600-1551193200@ccpr.ucla.edu
SUMMARY:Adeline Lo\, Princeton University
DESCRIPTION:Title: Covariate screening in high dimensional data: applications to forecasting and text data \nAbstract: 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. \nHosted by the Center for Social Statistics  \nMore on Prof. Lo
URL:https://ccpr.ucla.edu/event/adeline-lo-princeton-university/
LOCATION:1434A Physics and Astronomy Building
CATEGORIES:CSS Events,Divisional Publish
END:VEVENT
END:VCALENDAR