BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//California Center for Population Research - ECPv6.15.14//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20210314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20211107T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20220313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20221106T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20230312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20231105T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220202T120000
DTEND;TZID=America/Los_Angeles:20220202T133000
DTSTAMP:20260507T133630
CREATED:20211118T180142Z
LAST-MODIFIED:20220505T182941Z
UID:10000611-1643803200-1643808600@ccpr.ucla.edu
SUMMARY:CCPR Workshop: Analyzing Sample Survey Data
DESCRIPTION:In this workshop\, attendees will learn how to analyze survey data while accounting for its complex survey design. We will demonstrate how to specify the survey design\, impute any missing data\, and analyze the survey outcomes of interest. We will discuss how our downstream “analysis” steps are related to initial operational “design” choices made by the survey data provider. We will use R but also reference equivalent Stata routines. \nslides \nThe recording may be accessed here.
URL:https://ccpr.ucla.edu/event/workshop-sample-survey/
CATEGORIES:CCPR Seminar,CCPR Workshop
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2021/11/JEiBvJva_400x400.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220209T120000
DTEND;TZID=America/Los_Angeles:20220209T130000
DTSTAMP:20260507T133630
CREATED:20210910T064849Z
LAST-MODIFIED:20211217T211339Z
UID:10000754-1644408000-1644411600@ccpr.ucla.edu
SUMMARY:Taylor Hargrove\, University of North Carolina at Chapel Hill
DESCRIPTION:Biography: Dr. Hargrove is an Assistant Professor in the Department of Sociology and a faculty fellow at the Carolina Population Center at the University of North Carolina at Chapel Hill (UNC-CH). Her program of research examines how and why social inequalities in health unfold across the life course\, focusing on inequalities by race/ethnicity\, skin color\, gender\, and socioeconomic status. Her current program of research integrates biomedical perspectives into the study of health inequality in the US by exploring linkages among socio-geographic contexts\, individual-level characteristics\, and biological measures of health in early adulthood. The goal of this work is to elucidate how macro-level environments shape the consequences of social statuses on more proximate causes of poor health. Hargrove plans to continue this line of research in efforts to help elucidate the pathways through which social factors ‘get under our skin’ to shape health and undergird social stratification. \nMental Health across the Early life Course at the Intersections of Race\, Skin Tone\, and School Context \nAbstract: Considerable research documents higher levels of depressive symptoms among Black Americans relative to whites. Yet\, we know little about the role of other dimensions of race (e.g.\, skin tone) and early life contexts (e.g.\, childhood racial contexts) in shaping trajectories of depressive symptoms across adolescence and adulthood. This study asks: 1) to what extent do self-identified race and skin tone shape disparities in depressive symptoms between Black and white adults across ages 12-42? 2) Do the relationships between race/skin tone and depressive symptoms depend on school racial context\, as measured by the racial composition of middle and high schools? This study uses five waves of data from the National Longitudinal Study of Adolescent to Adult Health and employs growth curve models to address these questions. Overall\, results suggest that trajectories of depressive symptoms across ages 12-42 vary by race and skin tone among Black adults. Further\, racial and skin tone disparities in depressive symptom trajectories are contingent on school racial context\, highlighting competing advantages and disadvantages of navigating majority spaces in early life for Black adults of different skin tones. Findings and implications will be discussed in more detail. \nYou can access the CCPR seminar using this link.
URL:https://ccpr.ucla.edu/event/taylor-hargrove-university-of-north-carolina-chapel-hill/
CATEGORIES:CCPR Seminar
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2021/09/thargrov.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220216T120000
DTEND;TZID=America/Los_Angeles:20220216T133000
DTSTAMP:20260507T133630
CREATED:20211118T180526Z
LAST-MODIFIED:20220217T003538Z
UID:10000613-1645012800-1645018200@ccpr.ucla.edu
SUMMARY:Jack Mountjoy\, University of Chicago
DESCRIPTION:Biography: Jack Mountjoy is an Assistant Professor of Economics and Robert H. Topel Faculty Scholar at the University of Chicago Booth School of Business. His research explores the economics and econometrics of education\, labor markets\, and social mobility. Prior to joining Chicago Booth\, he was a Postdoctoral Fellow in Economics at Princeton University in the Industrial Relations Section. He is a Faculty Research Fellow at the National Bureau of Economic Research and a Research Affiliate at the University of Chicago Inclusive Economy Lab\, MIT Blueprint Labs\, and Statistics Norway. \nJack holds a Ph.D. in Economics from the University of Chicago\, where his dissertation work earned a fellowship from the National Academy of Education and Spencer Foundation. He also holds a post-baccalaureate Certificate in Mathematics from George Washington University and a B.A. in Economics and Politics from Whitman College. \n\n\nThe Returns to College(s): Relative Value-Added and Match Effects in Higher Education\n\nAbstract: Students who attend different colleges in the U.S. end up with vastly different economic outcomes. We study the role of relative value-added across colleges within student choice sets in producing these outcome disparities. Linking administrative high school records\, college applications\, admissions decisions\, enrollment spells\, degree completions\, and quarterly earnings spanning the Texas population\, we identify relative college value-added by comparing the outcomes of students who apply to and are admitted by the same set of institutions\, as this approach strikingly balances observable student potential across college treatments and renders our extensive set of covariates irrelevant as controls. Methodologically\, we develop a framework for identifying and interpreting value-added under varying assumptions about match effects and sorting gains\, generalizing the constant treatment effects assumption typically employed in the value-added literature. Empirically\, we estimate a relatively tight\, though non-degenerate\, distribution of relative value-added across the wide diversity of Texas public universities. Selectivity poorly predicts value-added within student choice sets: a fleeting selectivity earnings premium fades to zero after a few years in the labor market\, and more selective colleges tend to have lower value-added on STEM degree completion. Non-peer college inputs like instructional spending more strongly predict value-added\, especially conditional on selectivity. Educational impacts predict labor market impacts: colleges with larger earnings value-added also tend to be colleges that boost persistence\, BA completion\, and STEM degrees along the way. Finally\, we probe the potential for (mis)match effects by allowing each college’s relative value-added to vary flexibly by student characteristics. At first glance\, Black students appear to face small negative returns to choosing more selective colleges\, but this pattern of modest “mismatch” is entirely driven by the availability of two large historically Black universities with low selectivity but above-average value-added. Across the non-HBCUs\, Black students face similar returns to selectivity\, and indistinguishable value-added schedules more generally\, compared to their peers from other backgrounds.\n\nYou can access the CCPR seminar using this link.\nA recording of the seminar may be accessed here.
URL:https://ccpr.ucla.edu/event/jack-mountjoy-university-of-chicago/
LOCATION:Zoom seminar. Please contact ccpradmin@ccpr.ucla.edu for Zoom link.
CATEGORIES:CCPR Seminar
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2021/11/chicago-booth-jack-mountjoy-2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220223T120000
DTEND;TZID=America/Los_Angeles:20220223T133000
DTSTAMP:20260507T133630
CREATED:20211118T180827Z
LAST-MODIFIED:20220224T043601Z
UID:10000615-1645617600-1645623000@ccpr.ucla.edu
SUMMARY:Berk Ozler\, World Bank
DESCRIPTION:Biography: Berk Ozler received his B.Sc. in Mathematics from Boğaziçi University in 1991\, and his Ph.D in Economics from Cornell University in 2001. After working on poverty and inequality measurement\, poverty mapping\, and the 2006 World Development Report on Equity and Development earlier\, he decided to combine his interest in cash transfer programs and HIV risks facing young women in Africa by designing a large cash transfer experiment in Malawi\, the longer-term evaluation of which is still ongoing. He has since conducted a number of cluster-randomized field experiments. He is currently interested in ways to reduce unintended pregnancies\, especially among adolescent females and young women. He is trialing approaches to increase the take-up of modern contraceptives among this population with an adaptive experiment in Cameroon. He is a co-founder of and a regular contributor to the Development Impact blog. \nCan Improved Counseling Increase Willingness to Pay for Modern Contraceptives  \nAbstract: Long-acting reversible contraceptives are highly effective in preventing unintended pregnancies\, but take-up remains low. This paper analyzes a randomized controlled trial of interventions addressing two barriers to long-acting reversible contraceptive adoption\, credit\, and informational constraints. The study offered discounts to the clients of a women’s hospital in Yaoundé\, Cameroon\, and cross-randomized a counseling strategy that encourages shared decision-making using a tablet-based app that ranks modern methods. Discounts increased uptake by 50 percent\, with larger effects for adolescents. Shared decision-making tripled the share of clients adopting a long-acting reversible contraceptive at full price\, from 11 to 35 percent\, and discounts had no incremental impact in this group. \nYou can access the CCPR seminar using this link. \nA recording of the seminar may be accessed here.
URL:https://ccpr.ucla.edu/event/berk-ozler-world-bank-2/
LOCATION:Zoom seminar. Please contact ccpradmin@ccpr.ucla.edu for Zoom link.
CATEGORIES:CCPR Seminar
ATTACH;FMTTYPE=image/png:https://ccpr.ucla.edu/wp-content/uploads/2021/11/Berk-Ozler-1.png
END:VEVENT
END:VCALENDAR