This paper explores hypotheses of hierarchical migration using data from the Alaskan Arctic. We focus on migration of I'upiat people, who are indigenous to the region, and explore the role of income, harvests of subsistence resources, and other place characteristics in migration decisions. To test related hypotheses we use confidential micro-data from the US Census Bureau's 2000 Decennial Census of Population and Income. Using predicted earnings and subsistence along with place invariant characteristics we generate migration probabilities using a mixed multinomial and conditional logit model. Our results support stepwise migration patterns, both up and down an urban and rural hierarchy. At the same time, we also identify differences between men and women, and we find mixed effects of place amenities and predicted earnings.
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Using Restricted-Access ACS Data to Examine Economic and Noneconomic Factors of Interstate Migration By Race and Ethnicity
March 2023
Working Paper Number:
CES-23-12
We explore how determinants of internal migration differ between Black non-Hispanics, White non-Hispanics, and Hispanics using micro-level, restricted-use American Community Survey (ACS) data matched to data on attributes of sub-geographies down to the county level. This paper extends the discussion of internal migration in the U.S. by not only observing relationships between economic and noneconomic factors and household-level propensities to migrate, but also how these relationships differ across race and ethnicity within smaller geographies than have been explored in previous literature. We show that when controlling for household and location characteristics, minorities have a lower propensity to migrate than White households and document nuances in the responsiveness of internal migration to individual and locational attributes by racial and ethnic population subgroups.
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The Location of Displaced New Orleans Residents in the Year After Hurricane Katrina
September 2012
Working Paper Number:
CES-12-19
Using individual data from the restricted version of the American Community Survey, we examined the displacement locations of pre-Katrina adult residents of New Orleans in the year after the hurricane. Over half (53%) of adults had returned to'or remained in'the New Orleans metropolitan area, with just under one-third of the total returning to the dwelling in which they resided prior to Katrina. Among the remainder, Texas was the leading location with almost 40% of those living away from the metropolitan area (18% of the total), followed by other locations in Louisiana (12%), the South region of the US other than Louisiana and Texas (12%), and elsewhere in the U.S. (5%). Black adults were considerably more likely than nonblack adults to be living elsewhere in Louisiana, in Texas, and elsewhere in the South. The observed race disparity was not accounted for by any of the demographic or socioeconomic covariates in the multinomial logistic regression models. Consistent with hypothesized effects, we found that young adults (25'39 years of age) were more likely to move further away from New Orleans and that adults born outside Louisiana were substantially more likely to have relocated away from the state.
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WHY IMMIGRANTS LEAVE NEW DESTINATIONS AND WHERE DO THEY GO?
June 2013
Working Paper Number:
CES-13-32
Immigrants have a markedly higher likelihood of migrating internally if they live in new estinations. This paper looks at why that pattern occurs and at how immigrants' out-migration to new versus traditional destinations responds to their labor market economic and industrial structure, nativity origins and concentration, geographic region, and 1995 labor market type. Confidential data from the 2000 and 1990 decennial censuses are used for the analysis. Metropolitan and non-metropolitan areas are categorized into 741 local labor markets and classified as new or traditional based on their nativity concentrations of immigrants from the largest Asian, Caribbean and Latin American origins. The analysis showed that immigrants were less likely to migrate to new destinations if they lived in areas of higher nativity concentration, foreign-born population growth, and wages but more likely to make that move if they were professionals, agricultural or blue collar workers, highly educated, fluent in English, and lived in other new destinations. While most immigrants are more likely to migrate to new rather than traditional destinations that outcome differs sharply for immigrants from different origins and for some immigrants, particularly those from the Caribbean, the dispersal process to new destinations has barely started.
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Individual Social Capital and Migration
March 2018
Working Paper Number:
CES-18-14
This paper determines how individual, relative to community social capital affects individual migration decisions. We make use of non-public data from the Social Capital Community Benchmark Survey to predict multi-dimensional social capital for observations in the Current Population Survey. We find evidence that individuals are much less likely to have moved to a community with average social capital levels lower than their own and that higher levels of community social capital act as positive pull-factor amenities. The importance of that amenity differs across urban/rural locations. We also confirm that higher individual social capital is a negative predictor of migration.
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County-Level Estimates of the Employment Prospects of Low-Skill Workers
July 2000
Working Paper Number:
CES-00-11
This study examines low-skill wage and employment opportunities for men and women at the county level over the period 1989-96. Currently, reliable direct measures of wages and employment rates for different demographic and skill groups are only available for large geographic areas such as regions and populous states or at infrequent intervals (e.g., from the Decennial Census) for some smaller areas. This study constructs indirect annual measures for all counties from 1989-96 by combining skill-specific information on earnings and employment from the Sample Edited Detail File (SEDF) of the 1990 Decennial Census and the 1990-97 Annual Demographic files of the Current Population Survey (CPS) with annual industry-specific information from the Regional Economic Information System (REIS). Special versions of the SEDF and CPS files that identify county of residence are used. The study regresses the low-skill wage and employment data from the SEDF and CPS files on a set of personal variables from the combined files and local employment measures derived from the REIS. The wage regressions are corrected for selectivity from the employment decision and account for county-specific effects as well as general time effects. Estimates from the regressions are then combined with the available employment data from the REIS to impute wage and employment rates for low-skill adults across counties.
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DO PUBLIC TUITION SUBSIDIES PROMOTE COLLEGE ENROLLMENT? EVIDENCE FROM COMMUNITY COLLEGE TAXING DISTRICTS IN TEXAS
September 2014
Working Paper Number:
CES-14-32
This paper estimates the effect of tuition rates on college enrollment using data for Texas from the 1990 and 2000 Censuses and the 2004 ' 2010 American Community Surveys and geographical data on Community College Taxing Districts. The effect of tuition on enrollment is identified by the facts that tuition rates for those living within a taxing district are lower than those living outside the taxing district and in Texas not all geographic locations are in a taxing district. While the estimated effect of tuition on enrollment depends on the sample used, it is negative and mostly statistically significant in the samples of iadults 18 and older and negative and sometimes statistically significant in the samples of traditional age students 18 to 24. The estimated effect of tuition on enrollment, however, is found to vary considerably by poverty level status with an increase in tuition rates having a statistically significant negative effect on college enrollment for those with household incomes that are at least 200% of the poverty level both for traditional aged students 18 to 24 years old and all adults 18 and older.
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Dynamics of Race: Joining, Leaving, and Staying in the American Indian/Alaska Native Race Category between 2000 and 2010
August 2014
Working Paper Number:
carra-2014-10
Each census for decades has seen the American Indian and Alaska Native population increase substantially more than expected. Changes in racial reporting seem to play an important role in the observed net increases, though research has been hampered by data limitations. We address previously unanswerable questions about race response change among American Indian and Alaska Natives (hereafter 'American Indians') using uniquely-suited (but not nationally representative) linked data from the 2000 and 2010 decennial censuses (N = 3.1 million) and the 2006-2010 American Community Survey (N = 188,131). To what extent do people change responses to include or exclude American Indian? How are people who change responses similar to or different from those who do not? How are people who join a group similar to or different from those who leave it? We find considerable race response change by people in our data, especially by multiple-race and/or Hispanic American Indians. This turnover is hidden in cross-sectional comparisons because people joining the group are similar in number and characteristics to those who leave the group. People in our data who changed their race response to add or drop American Indian differ from those who kept the same race response in 2000 and 2010 and from those who moved between a single-race and multiple-race American Indian response. Those who consistently reported American Indian (including those who added or dropped another race response) were relatively likely to report a tribe, live in an American Indian area, report American Indian ancestry, and live in the West. There are significant differences between those who joined and those who left a specific American Indian response group, but poor model fit indicates general similarity between joiners and leavers. Response changes should be considered when conceptualizing and operationalizing 'the American Indian and Alaska Native population.'
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Geographic Immobility in the United States: Assessing the Prevalence and Characteristics of Those Who Never Migrate Across State Lines Using Linked Federal Tax Microdata
March 2025
Working Paper Number:
CES-25-19
This paper explores the prevalence and characteristics of those who never migrate at the state scale in the U.S. Studying people who never migrate requires regular and frequent observation of their residential location for a lifetime, or at least for many years. A novel U.S. population-sized longitudinal dataset that links individual level Internal Revenue Service (IRS) and Social Security Administration (SSA) administrative records supplies this information annually, along with information on income and socio-demographic characteristics. We use these administrative microdata to follow a cohort aged between 15 and 50 in 2001 from 2001 to 2016, differentiating those who lived in the same state every year during this period (i.e., never made an interstate move) from those who lived in more than one state (i.e., made at least one interstate move). We find those who never made an interstate move comprised 75 percent of the total population of this age cohort. This percentage varies by year of age but never falls below 62 percent even for those who were teenagers or young adults in 2001. There are also variations in these percentages by sex, race, nativity, and income, with the latter having the largest effects. We also find substantial variation in these percentages across states. Our findings suggest a need for more research on geographically immobile populations in U.S.
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Gender Differences in Self-employment Duration: the Case of Opportunity and Necessity Entrepreneurs
September 2019
Working Paper Number:
CES-19-24
A strand of the self-employment literature suggests that those 'pushed' into self-employment out of necessity may perform differently from those 'pulled' into self-employment to pursue a business opportunity. While findings on self-employment outcomes by self-employed type are not unanimous, there is mounting evidence that performance outcomes differ between these two self-employed types. Another strand of the literature has found important gender differences in self-employment entry rates, motivations for entry, and outcomes. Using a unique set of data that links the American Community Survey to administrative data from Form 1040 and W-2 records, we bring together these two strands of the literature. We explore whether there are gender differences in self-employment duration of self-employed types. In particular, we examine the likelihood of self-employment exit towards unemployment versus the wage sector for five consecutive entry cohorts, including two cohorts who entered self-employment during the Great Recession. Severely limited labor-market opportunities may have driven many in the recession cohorts to enter self-employment, while those entering self-employment during the boom may have been pursuing opportunities under favorable market conditions. To more explicitly test the concept of 'necessity' versus 'opportunity' self-employment, we also examine the wage labor attachment (or weeks worked in the wage sector) in the year prior to becoming self-employed. We find that, within the cohorts we examine, there are gender differences in the rate at which men and women depart self-employment for either wage work or non-participation, but that the patterns are dependent on pre self-employment wage-sector attachment and cohort effects.
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Wage Determination in Social Occupations: the Role of Individual Social Capital
January 2016
Working Paper Number:
CES-16-46
We make use of predicted social and civic activities (social capital) to account for selection into "social" occupations. Individual selection accounts for more than the total difference in wages observed between social and non-social occupations. The role that individual social capital plays in selecting into these occupations and the importance of selection in explaining wage differences across occupations is similar for both men and women. We make use of restricted 2000 Decennial Census and 2000 Social Capital Community Benchmark Survey. Individual social capital is instrumented by distance weighted surrounding census tract characteristics.
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