Why People Migrate: The Diverse Mechanisms of Mexico-US Migration
Note: Seminar will be in Soc / Psych 329 at 1:00pm on Friday.
Note: Seminar will be in Soc / Psych 329 at 1:00pm on Friday.
ABSTRACT: We carry out an analysis of societal variations in the process of educational attainment using a multilevel modeling strategy to assess how societal modernization, educational expansion, social inequality, a world-wide secular trend toward greater equality of opportunity, and communist educational policies affect the dependence of educational attainment on parental status and the gender gap in educational attainment. Using data from 541 sample surveys conducted in 54 countries, we define five-year birth cohorts ranging from the late 19th century through the late 20th century.
ABSTRACT: In analysis of longitudinal data about migration behavior in rural northeastern Thailand, we examine the association of migration behavior with patterns of NDVI signals to estimate exposure to non-modal clusters over varying periods of retrospective time. Our hazard model approach indicates significantly different associations between rural out migration and return migration depending on the length of the temporal lens.
ABSTRACT: For all climatic regions, mortality due to cold exceeds mortality due to heat. A separate line of research indicates that lifespan after age 50 depends on month of birth. This research as well as literature documenting developmental plasticity and culling in utero implies the hypothesis that ambient temperature during gestation may influence cold-related adult mortality. We use data on over 13,500 Swedes to test whether subjects whose mothers experienced unusually benign ambient temperatures during their gestation exhibit an elevated risk of cold-related mortality in adulthood.
This is a jointly sponsored event with the Carolina Population Center. The seminar will be held at the University of North Carolina. It will be held at the Pleasants Family Assembly Room at Wilson Library, UNC-Chapel Hill campus.
ABSTRACT: Despite widespread success in using Twitter data to explain what people are doing or talking about, little attention has been paid to developing systematic ways of gathering demographic information from this data source. This paper develops a scalable, sustainable toolkit for social science researchers interested in using Twitter data to examine behaviors and attitudes, as well as understand the populations expressing them. We begin by describing how to collect Twitter data on a particular population ¿ in this case, individuals who did not plan to vote in the 2012 U.S.
ABSTRACT: Low income has long been associated with worse child and adult health for certain outcomes, but the extent and direction of causal association has been controversial, with many thorough analyses and reviews suggesting little to no true causal association. While progress on this topic has been made using some quasi-experimental studies and instrumental variables to estimate effects, many approaches have been limited in their generalizability to policy.
ABSTRACT: Poverty and altered planning horizons brought on by the HIV/AIDS epidemic can change individual discount rates, altering incentives to conserve natural resources. Using longitudinal data from household surveys in western Kenya, this paper estimate impacts of health status on labor productivity and discount rates. The findings indicate that household size and composition are predictors of whether the effect on productivity dominates the discount rate effect, or vice-versa.
ABSTRACT: It is well known that income inequality increased dramatically in the United States beginning in the 1970s. Reardon (2011) documents a correspondingly large increase - of close to .50 standard deviations - in the test score gap between children in low and high income families over the same period. This paper shifts the focus from achievement to attainment, as measured by years of completed schooling, and tracks changes in income inequality and educational attainment between children born into low- and high-income households in the U.S. between 1954 and 1985.
ABSTRACT: While the causes, transmission and consequences of material and social inequality are well studied in the social sciences, the ways in which people respond to inequality are less clear. As evolutionary social scientists we know that humans show a strong aversion to inequality, but we have little understanding of how individuals respond behaviourally to disparities in material, social and relational wealth.