BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//California Center for Population Research - ECPv6.15.14//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250203T100000
DTEND;TZID=America/Los_Angeles:20250203T110000
DTSTAMP:20260502T153716
CREATED:20241003T232148Z
LAST-MODIFIED:20241003T232148Z
UID:10000897-1738576800-1738580400@ccpr.ucla.edu
SUMMARY:Bagel Hour
DESCRIPTION:Join CCPR affiliates for bagels from Noah’s Bagels and get to know one another in a casual setting. \nBagels are served in the CCPR Break Room.
URL:https://ccpr.ucla.edu/event/bagel-hour-14/
LOCATION:CCPR Break Room
CATEGORIES:CCPR Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250205T120000
DTEND;TZID=America/Los_Angeles:20250205T150000
DTSTAMP:20260502T153716
CREATED:20240909T215608Z
LAST-MODIFIED:20250219T223729Z
UID:10000870-1738756800-1738767600@ccpr.ucla.edu
SUMMARY:Workshop: Yiqing Xu\, Stanford University\, "Factorial Difference-in-Differences"
DESCRIPTION:Biography: Dr. Xu’s primary research covers political methodology\, Chinese politics\, and their intersection. He received a PhD in Political Science from Massachusetts Institute of Technology (2016)\, an MA in Economics from China Center for Economic Research at Peking University (2010) and a BA in Economics from Fudan University (2007). His work has appeared in leading political science journals\, including American Political Science Review\, American Journal of Political Science\, Journal of Politics\, and Political Analysis. He has won several professional awards\, including the John T. Williams Dissertation Prize from the Society for Political Methodology\, the Best Article Award from American Journal of Political Science in 2016\, and the Miller Prize (2018\, 2020) for the best work appearing in Political Analysis the preceding year. In 2024\, he was honored with the Emerging Scholar Award from the Society of Political Methodology and received an honorable mention for the Becky Morton and Tom Carsey Excellence in Mentoring Award. That same year\, interflex\, R and Stata packages he developed with his team\, won the Society’s Best Statistical Software Award. \nFactorial Difference-in-Differences\nAbstract: In many panel data settings\, researchers apply the difference-in-differences (DID) estimator\, exploiting cross-sectional variation in a baseline factor and temporal variation in exposure to an event affecting all units. However\, the exact estimand is often unspecified and the justification for this method remains unclear. This paper formalizes this empirical approach\, which we term factorial DID (FDID)\, as a research design including its data structure\, estimands\, and identifying assumptions. We frame it as a factorial design with two factors—the baseline factor G and exposure level Z\, and define effect modification and causal moderation as the associative and causal effects of G on the effect of Z\, respectively. We show that under standard assumptions\, including no anticipation and parallel trends\, the DID estimator identifies effect modification but not causal moderation. To identify the latter\, we propose an additional factorial parallel trends assumption. Moreover\, we reconcile canonical DID as a special case of FDID with an additional exclusion restriction and link causal moderation to G’s conditional effect with another exclusion restriction. We extend our framework to conditionally valid assumptions\, clarify regression-based approaches\, and illustrate our findings with an empirical example. We offer practical recommendations for FDID applications.
URL:https://ccpr.ucla.edu/event/workshop-yiqing-xu-stanford-university-methods/
LOCATION:4240A Public Affairs Bldg
CATEGORIES:CCPR Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250210T100000
DTEND;TZID=America/Los_Angeles:20250210T110000
DTSTAMP:20260502T153716
CREATED:20241011T204047Z
LAST-MODIFIED:20241011T204047Z
UID:10000899-1739181600-1739185200@ccpr.ucla.edu
SUMMARY:Bagel Hour
DESCRIPTION:Join CCPR affiliates for bagels from Noah’s Bagels and get to know one another in a casual setting. \nBagels are served in the CCPR Break Room.
URL:https://ccpr.ucla.edu/event/bagel-hour-15/
LOCATION:CCPR Break Room
CATEGORIES:CCPR Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250212T120000
DTEND;TZID=America/Los_Angeles:20250212T131500
DTSTAMP:20260502T153716
CREATED:20240909T215832Z
LAST-MODIFIED:20250214T213115Z
UID:10000871-1739361600-1739366100@ccpr.ucla.edu
SUMMARY:Robert Fairlie\, University of California\, Los Angeles\, "Affirmative Action\, Faculty Productivity and Caste Interactions: Evidence from Engineering Colleges in India"
DESCRIPTION:Biography: Fairlie is a Distinguished Professor at UCLA. He is an Economist and Chair of the Department of Public Policy. He is also a member of the National Bureau of Economic Research (NBER). He studies a wide range of topics including entrepreneurship\, education\, labor\, racial\, gender and caste inequality\, information technology\, immigration\, health\, and development. He received a Ph.D. and M.A. from Northwestern University and B.A. with honors from Stanford University\, and has held full-time or visiting positions at UC Santa Cruz\, Stanford University\, Yale University\, UC Berkeley\, and Australian National University. He has received funding from the National Science Foundation\, National Academies\, and Russell Sage Foundation as well as numerous government agencies and foundations\, and has testified in front of the U.S. Senate\, U.S. House of Representatives\, U.S. Department of Treasury\, and the California State Assembly. \nAffirmative Action\, Faculty Productivity and Caste Interactions: Evidence from Engineering Colleges in India\nAbstract: Affirmative action programs are often criticized because of concerns over lower worker productivity. In India\, colleges are required to reserve 50 percent of faculty hires from lower caste groups. We collect and analyze data from Indian engineering colleges\, some of which randomly assign students to classrooms. We find that reservation category faculty have lower education levels\, professorial ranks and experience than general category faculty. Yet\, we find no evidence that reservation category faculty provide lower quality instruction or have lower research or administrative productivity. Examining heterogeneity in instructional quality\, we also find no evidence of positive reservation category “teacher-like-me” effects. \n  \nAn audio recording of Robert Farilie’s presentation may be accessed here. \nThe slides of the presentation may be accessed here.
URL:https://ccpr.ucla.edu/event/robert-fairlie-university-of-california-los-angeles/
LOCATION:4240A Public Affairs Bldg
CATEGORIES:CCPR Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250219T120000
DTEND;TZID=America/Los_Angeles:20250219T131500
DTSTAMP:20260502T153716
CREATED:20240909T220011Z
LAST-MODIFIED:20250115T233425Z
UID:10000872-1739966400-1739970900@ccpr.ucla.edu
SUMMARY:Sarah Brayne\, Stanford University\, "Living and Dying in the Shadow of Mass Incarceration"
DESCRIPTION:Biography: Sarah Brayne is an Associate Professor in the Department of Sociology. In her work\, she uses qualitative and quantitative methods to understand whether and how data-intensive surveillance shapes individual trajectories and population-level disparities. Her first book\, Predict and Surveil: Data\, Discretion\, and the Future of Policing\, draws on ethnographic research within the Los Angeles Police Department to understand the social implications of law enforcement’s use of predictive analytics and new surveillance technologies. \nCurrent projects investigate whether and how exposure to the criminal legal system shapes racial and ethnic disparities in health\, aging\, and mortality; how social media data is used in the criminal legal process; and role of surveillance in forced migration. \nPrior to joining the faculty at Stanford\, Professor Brayne taught at the University of Texas at Austin\, where she co-founded the Texas Prison Education Initiative. She holds a B.A. in Sociology from the University of British Columbia\, an M.A. and Ph.D. in Sociology from Princeton University\, and completed a postdoc at Microsoft Research. \n\n\n\nLiving and Dying in the Shadow of Mass Incarceration\n\n\n\nAbstract: In the United States\, racial disparities in life expectancy are well-documented. However\, the role of incarceration is largely absent from this research. This gap is striking\, given the disproportionate exposure to incarceration among Black men. In this talk\, I use administrative and vital statistics data to understand the impact of incarceration on racial disparities in life expectancy. This research highlights the complex interplay between incarceration and health\, ultimately arguing there is a critical need for analyses of data on incarceration in population research.
URL:https://ccpr.ucla.edu/event/sarah-brayne-stanford-university/
LOCATION:4240A Public Affairs Bldg
CATEGORIES:CCPR Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250224T100000
DTEND;TZID=America/Los_Angeles:20250224T110000
DTSTAMP:20260502T153716
CREATED:20241021T220924Z
LAST-MODIFIED:20241021T220924Z
UID:10000900-1740391200-1740394800@ccpr.ucla.edu
SUMMARY:Bagel Hour
DESCRIPTION:Join CCPR affiliates for bagels from Noah’s Bagels and get to know one another in a casual setting. \nBagels are served in the CCPR Break Room.
URL:https://ccpr.ucla.edu/event/bagel-hour-16/
LOCATION:CCPR Break Room
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250226T120000
DTEND;TZID=America/Los_Angeles:20250226T131500
DTSTAMP:20260502T153716
CREATED:20241204T223802Z
LAST-MODIFIED:20250304T182858Z
UID:10000916-1740571200-1740575700@ccpr.ucla.edu
SUMMARY:Workshop: Paul Lillig\, UCLA\, "OHRPP and Research at UCLA - A Brief Overview of IRB Function and Responsibilities"
DESCRIPTION:Join us for a CCPR workshop on IRB/Human Subject requirements and procedures at UCLA. This event is tailored for graduate students and faculty affiliates; covering the criteria for IRB approval\, the submission process for IRB review\, and how to determine if IRB review or certification of exemption is required for your research. The workshop will also include a Q&A to address any specific questions or concerns you may have. \n  \nAn audio recording of Paul Lillig’s presentation may be accessed here. \nThe slides of the presentation may be accessed here.
URL:https://ccpr.ucla.edu/event/workshop-the-ucla-irb-and-human-subjects-research/
LOCATION:4240 Public Affairs Bldg
CATEGORIES:CCPR Workshop
END:VEVENT
END:VCALENDAR