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X-WR-CALDESC:Events for California Center for Population Research
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151211T090000
DTEND;TZID=America/Los_Angeles:20151211T170000
DTSTAMP:20260502T045805
CREATED:20151106T233244Z
LAST-MODIFIED:20210422T024042Z
UID:10000428-1449824400-1449853200@ccpr.ucla.edu
SUMMARY:NBER Cohort Studies Data Users Conference
DESCRIPTION:CCPR is hosting the annual NBER Cohort Studies meeting which brings together researchers from different fields interested in aging related issues or in methodologies applicable to aging and has set the seeds for synergistic relationships between economists\, sociologists\, demographers\, psychologists\, epidemiologists\, and MDs.  The meeting is funded in part by an NIH conference grant through NBER.
URL:https://ccpr.ucla.edu/event/nber-cohort-studies-data-users-conference/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Conference,CCPR Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20151211
DTEND;VALUE=DATE:20151212
DTSTAMP:20260502T045805
CREATED:20160504T231322Z
LAST-MODIFIED:20160504T231328Z
UID:10000436-1449792000-1449878399@ccpr.ucla.edu
SUMMARY:NBER Cohort Studies Meeting
DESCRIPTION:NATIONAL BUREAU OF ECONOMIC RESEARCH\, INC. \n\n\n\nCohort Studies Meeting\n\n\nDora Costa\, Organizer\n\n\nDecember 11\, 2015\n\n\nCalifornia Center for Population Research at UCLA\n337 Charles E. Young Drive\, East\nRoom 4240\, Public Affairs Building (4th Floor)\nLos Angeles\, California\n\n\nProgram
URL:https://ccpr.ucla.edu/event/nber-cohort-studies-meeting-2/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151202T120000
DTEND;TZID=America/Los_Angeles:20151202T133000
DTSTAMP:20260502T045805
CREATED:20150923T190016Z
LAST-MODIFIED:20160512T221226Z
UID:10000492-1449057600-1449063000@ccpr.ucla.edu
SUMMARY:Siwei Cheng\, UCLA
DESCRIPTION:“The Shifting Structure of Intragenerational Inequality” \nAbstract: Traditional stratification and inequality research often treats individuals as single points of observation in the stratification system. This paper extends current scholarship on economic inequality by invoking the life course perspective to study the intragenerational pattern of wage inequality\, focusing particularly on how its structure has changed across cohorts. Using over 40 years of national representative data from CPS and PSID\, I found that inequality increases over the life course for all cohorts born between 1941 and 1970. Further\, cross-cohort comparison reveals that the amount of intragenerational growth of inequality has increased from earlier to later cohorts\, suggesting that the labor market plays a more important role in generating inequality in recent years. Microlevel decomposition analysis suggests that the relative importance of the underlying mechanisms for intragenerational inequality has also shifted across cohorts\, with a growing amount of intragenerational growth of inequality attributable to education-based cumulative advantage and residual inequality. \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/siwei-cheng-uc-los-angeles/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar
ATTACH;FMTTYPE=image/png:https://ccpr.ucla.edu/wp-content/uploads/2015/09/1442271855-e1446855773779.png
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151118T120000
DTEND;TZID=America/Los_Angeles:20151118T133000
DTSTAMP:20260502T045805
CREATED:20150923T195219Z
LAST-MODIFIED:20160512T222014Z
UID:10000499-1447848000-1447853400@ccpr.ucla.edu
SUMMARY:Rodrigo Pinto\, UCLA
DESCRIPTION:“Beyond LATE: Economic Choices and the Identification of Multiple Treatment Effects “ \nAbstract: “Monotonicity” refers to a condition in choice models with instrumental variables in which a local variation of an instrument shifts all agents toward or against a choice. This paper presents a useful framework to investigate the role of monotonicity in the identification of causal effects in multiple choice models with categorical instrumental variables.  I first examine a new monotonicity condition that applies to unordered choice models with multiple treatments.  Like its analogous property in the binary choice model\, I show that unordered monotonicity imply and is implied by additive separability in observables and unobservables in choice equations.  I show that unordered monotonicity may arise from preference properties of choice behavior. I then exemplify the use of preference properties to identify causal effects in choice models where monotonicity does not hold. I show that identification and equivalence results flow from simple properties of binary matrices. \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/rodrigo-pinto-uc-los-angeles/
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/Photo_R-Pinto-e1455837609765.jpg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151113T120000
DTEND;TZID=America/Los_Angeles:20151113T133000
DTSTAMP:20260502T045805
CREATED:20160315T210703Z
LAST-MODIFIED:20220906T223445Z
UID:10000531-1447416000-1447421400@ccpr.ucla.edu
SUMMARY:Reproducibility of Statistical Results
DESCRIPTION:Presented By: \n\nMark S. Handcock \n(Professor\, Statistics) \nJeffrey B. Lewis \n(Professor\, Political Science) \nMarc A. Suchard \n(Professor\, Biomathematics\, Biostatistics and Human Genetics) \n  \nReproducibility is one of the main principles of the scientific method. This panel of scholars will discuss issues in the importance of replication of statistical results. Increasing attention is being paid to improve reporting and hence reproducibility in the social and medical sciences. This panel will discuss some key concerns in study replication\, initiatives for increasing replication\, and then open the floor to discussion of how we move forward as a scientific community.
URL:https://ccpr.ucla.edu/event/reproducing-statistical-results-2/
LOCATION:CCPR Seminar Room\, 4240 Public Affairs Building\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:CCPR Seminar,CCPR Workshop,CSS Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151104T120000
DTEND;TZID=America/Los_Angeles:20151104T133000
DTSTAMP:20260502T045805
CREATED:20150923T195141Z
LAST-MODIFIED:20160512T222608Z
UID:10000498-1446638400-1446643800@ccpr.ucla.edu
SUMMARY:Rachel Goldberg\, UC Irvine
DESCRIPTION:“Immigrant Generation and Adolescent Childbearing in the United States” \nAbstract: Despite recent declines\, the teen birth rate in the United States is still the highest among high-income countries. Immigrant youth can be expected to increasingly shape US trends in adolescent childbearing as their share of the youth population continues to grow. About one in four US children has foreign-born parents currently\, up from 6% in 1960; this share is projected to rise to one-third by 2050. In this study\, I use data from the National Longitudinal Study of Adolescent Health (Add Health) to examine how the risk of early childbearing varies by immigrant generation; to what extent generational variation reflects discrepancies in the timing of sexual onset (versus post onset factors); and what family\, neighborhood\, and individual-level social factors underlie generational differences. I will also describe a new data collection project called the mDiary Study of Adolescent Relationships\, which pairs a year-long diary study with an ongoing birth cohort study to increase understanding of the content and quality of teen partnerships over time\, and of the childhood precursors and health and developmental consequences of teen relationship behavior. \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/rachel-goldberg-uc-irvine/
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/Rachel_Goldberg_11_4_15.jpg
ORGANIZER;CN="CCPR Seminars":MAILTO:seminars@ccpr.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20151028T120000
DTEND;TZID=America/Los_Angeles:20151028T133000
DTSTAMP:20260502T045805
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:20260502T045805
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:20260502T045805
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:20260502T045805
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:20260502T045805
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
END:VEVENT
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