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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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DTSTART;TZID=America/Los_Angeles:20151028T120000
DTEND;TZID=America/Los_Angeles:20151028T133000
DTSTAMP:20260819T180242
CREATED:20150923T194911Z
LAST-MODIFIED:20160512T222417Z
UID:10000497-1446033600-1446039000@ccpr.ucla.edu
SUMMARY:Mirna Safi\, Sciences Po\, Paris
DESCRIPTION:“Immigrant Spatial Desegregation Trends and Inequality Along Ethnoracial Lines in France” \n*Co-Sponsored with The Program on International Migration  \nAbstract: This article describes patterns of ethnoracial and socioeconomic neighborhood attainment among North African\, sub-Saharan African and European immigrants in France. We use the French Trajectories and Origins Survey\, containing rare assimilation variables (length of stay\, immigrant generation\, parental length of stay\, mixed ascendance\, socioeconomic status). Findings highlight the weak potency of these variables in accounting for spatial trajectories compared to the predominance of ethnoracial origin. Simultaneous equations models are used to show how ethnoracial and socioeconomic desegregation overlap\, delineating distinct patterns of neighborhood attainment across immigrant groups\, with intense spatial disadvantage among North Africans and sub- Saharan Africans. The conclusion discusses the implications of these findings for understanding the ethnoracial dimension of socio-spatial stratification in France. \nIf you are interested in meeting with or joining the speaker for lunch\, please send email to Seminars@ccpr.ucla.edu \n12:00 pm – 1:30 pm: Seminar\n1:30 pm – 2:30 pm: Proseminar Lunch
URL:https://ccpr.ucla.edu/event/mirna-safi-sciences-po-paris/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151021T120000
DTEND;TZID=America/Los_Angeles:20151021T133000
DTSTAMP:20260819T180242
CREATED:20150924T165953Z
LAST-MODIFIED:20160512T222545Z
UID:10000500-1445428800-1445434200@ccpr.ucla.edu
SUMMARY:Chad Hazlett\, UCLA
DESCRIPTION:“Kernel balancing: a weighting approach for causal inference and sample adjustment” \nAbstract: When making causal inferences from observational data under the assumption of no unobserved confounders\, matching and weighting estimators are used to adjust the joint distribution of observed covariates for treated and control units to be the same. Similarly\, investigators often have data from an observed sample\, which they wish to adjust to make more similar to a target sample or known population. However\, existing weighting and matching approaches for both problems have important limitations: matches are generally not exact\, and standard weighting approaches ensure that the observed sample is similar to the target sample/population only on a finite set of pre-specified moments. I introduce kernel balancing\, first in the context of causal inference and then as a solution to the general sample-adjustment problem. The method works by taking a high-dimensional expansion of the observed covariates\, and choosing weights on the control group (or observed sample) such that it has equal means to the treated group (or target sample) on this high-order expansion of the covariates. By using kernels\, it is possible to choose an expansion such that all continuous functions of the covariates are linear in that expansion. This proves very desirable\, as the weighting then ensures that any unspecified but plausibly important continuous function of the covariates (such as a ratio of two variables) will automatically have the same means for the two groups as well. I provide empirical examples\, and show that this method also implies that a particular estimator of the entire multivariate density of covariates is the same for the two samples at every observed location in the covariate space. An R package implementing the procedure is available from the author. \nIf you are interested in meeting with or joining the speaker for lunch\, please send email to Seminars@ccpr.ucla.edu \n12:00 pm – 1:30 pm: Seminar \n1:30 pm – 2:30 pm: Proseminar Lunch:
URL:https://ccpr.ucla.edu/event/tba/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2015/09/Chad_Hazlett_10_21_15.jpg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151015T120000
DTEND;TZID=America/Los_Angeles:20151015T133000
DTSTAMP:20260819T180242
CREATED:20150923T194114Z
LAST-MODIFIED:20160512T222227Z
UID:10000496-1444910400-1444915800@ccpr.ucla.edu
SUMMARY:Aude Hofleitner\, Facebook
DESCRIPTION:“Inferring and understanding travel and migration movements at a global scale” \nAbstract: Despite extensive work on the dynamics and outcomes of large-scale migrations\, timely and accurate estimates of population movements do not exist. While censuses\, surveys\, and observational data have been used to measure migration\, estimates based on these data sources are constrained in their inability to detect unfolding migrations\, and lack temporal and demographic detail. In this study\, we present a novel approach for generating estimates of migration that can measure movements of particular demographic groups across country lines. \nSpecifically\, we model migration as a function of long-term moves across countries using aggregated Facebook data. We demonstrate that this methodological approach can be used to produce accurate measures of past and ongoing migrations – both short-term patterns and long-term changes in residence. Several case studies confirm the validity of our approach\, and highlight the tremendous potential of information obtained from online platforms to enable novel research on human migration events. \nIf you are interested in meeting with or joining the speaker for lunch\, please send email to Seminars@ccpr.ucla.edu
URL:https://ccpr.ucla.edu/event/aude-hofleitner-facebook/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,CSS Events
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2015/09/Aude_Hofleitner_10_15_15.jpg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151014T120000
DTEND;TZID=America/Los_Angeles:20151014T133000
DTSTAMP:20260819T180242
CREATED:20150923T193953Z
LAST-MODIFIED:20160512T221049Z
UID:10000495-1444824000-1444829400@ccpr.ucla.edu
SUMMARY:William Dow\, UC Berkeley
DESCRIPTION:“Why does Costa Rica outperform the United States in life expectancy?  A tale of two inequality gradients” \nAbstract: Costa Rica is among the few low or middle income countries with high quality adult vital statistics mortality data. We link these mortality records with census data to create a Costa Rican National Longitudinal Mortality Study\, and compare adult mortality patterns to those in the United States. We find that mortality in the U.S. is 18% higher than in Costa Rica among adult men and 10% higher among middle-aged women\, despite the several times higher income and health expenditures of the U.S. The U.S.’s underperformance is strongly linked to its much steeper socioeconomic (SES) gradients in health. Although the highest SES quartile in the U.S. has better mortality than the highest quartile in Costa Rica\, U.S. mortality in its lowest quartile is markedly worse than in Costa Rica’s lowest quartile. Further examination of cause-specific mortality and risk factors suggest that these patterns are strongly related to behaviors leading to lung cancer and heart disease. \nIf you are interested in meeting with or joining the speaker for lunch\, please send email to Seminars AT ccpr.ucla.edu \n9:00 am – 9:30 am: Prof. Hiram Beltran-Sanchez\n9:30 am – 10:00 am: Prof. Adriana Lleras-Muney\n10:30 am – 11:00 am: Prof. Anne Pebley\n12:00 pm – 1:30 pm: Seminar\n1:30 pm – 2:30 pm: Proseminar Lunch: \n2:30 pm – 3:00 pm: Prof. Jessica Gipson
URL:https://ccpr.ucla.edu/event/william-dow-uc-berkeley-why-does-costa-rica-outperform-the-united-states-in-life-expectancy-a-tale-of-two-inequality-gradients/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar
ATTACH;FMTTYPE=image/jpeg:https://ccpr.ucla.edu/wp-content/uploads/2015/09/William_Dow_10_14_15.jpg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151007T120000
DTEND;TZID=America/Los_Angeles:20151007T133000
DTSTAMP:20260819T180242
CREATED:20150923T193449Z
LAST-MODIFIED:20150923T200440Z
UID:10000494-1444219200-1444224600@ccpr.ucla.edu
SUMMARY:Welcome and Introductions
DESCRIPTION:Come and learn all about the California Center for Population Research!
URL:https://ccpr.ucla.edu/event/welcome-and-introductions/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar
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