This research analyzes the effect of community structure upon individuals' probabilities of moving between 1985 and 1990. Using the full Census sample long form microdata for 1990, we re-allocate adult persons in 1990 to their 1985 county of residence. Then, using origin county macro-structural variables (derived from the Economic Census microdata) and individual characteristics (from Decennial Census microdata), we develop a two level hierarchical linear model. In level 1, we construct a logistic equation modeling individual probabilities of moving. In level 2, we model the contextual effects of origin community structure on these models. These contextual effects fall into two categories: 1) economic conditions that comprise the usual aggregate 'push' factors and 2) civic community factors that act to retain people in their community. Results specify the relationship between community context and individual migration patterns, and demonstrate effects of local economic structure and local civic structure on these individual probabilities. Most notably, we find that civic attributes of communities are associated with a propensity to stay in place, net of community economic factors and individual characteristics.
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Stability and Change in Individual Determinants of Migration: Evidence from 1985-1990 and 1995 to 2000
November 2006
Working Paper Number:
CES-06-27
In this paper, we compare the reliability of migration estimates from two rather different macroeconomic periods in recent U.S. history. One of these periods, 1985-1990 coincides with the culmination of a vast industrial restructuring which saw a significant decline in manufacturing employment. The other period, 1995-2000, encompasses a time of robust economic growth and tight labor markets driven by productivity gains associated with new technologies. Our interest here is in the stability of common individual-level predictors of migration in these rather disparate macroeconomic contexts. Using confidential internal versions of the 1990 and 2000 Census long-form data, we estimate logistic models of the likelihood that individuals will migrate. The geographic detail in the internal Census data permits us to measure migration in ways that are not possible with public-domain Census data on persons. We develop migration definitions that distinguish between local residential mobility likely associated with life course transitions from migration out of the labor market area that may be driven more by employment and other socioeconomic considerations. Using logistic modeling, we find that the same individual attributes predict migration reasonably well during both periods. We also compute some illustrative probabilities of migration that show temporal stability in migration predictors could be lessened by certain changes in population composition.
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Endogenous Growth and Entrepreneurial Activity in Cities
January 2003
Working Paper Number:
CES-03-02
Recent theories of economic growth have stressed the role of externalities in generating growth. Using data from the Census Bureau that tracks all employers in the whole U.S. private sector economy, we examine the impact of these externalities, as measured by entrepreneurial activity, on employment growth in Local Market Areas. We find that differences in levels of entrepreneurial activity, diversity among geographically proximate industries, and the extent of human capital are positively associated with variation in growth rates, but the manufacturing sector appears to be an exception.
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Civic Community in Small-Town America: How Civic Welfare is Influenced by Local Capitalism and Civic Engagement
December 2001
Working Paper Number:
CES-01-19
The aims of this paper are twofold: first, to gain a fuller understanding of factors that foster community cohesion and contribute to the residents' social and economic well-being; and, second, to move beyond previous research that used larger spatial units such as states, counties, or aggregates of counties and to focus instead on American small towns (population 2,500-20,000). The data on small towns are drawn from public-use files and from confidential microdata from various economic censuses. From these sources we construct measures of locally oriented firms, self-employment, business establishments that serve as gathering places, and associations. The local capitalism and civic engagement variables generally perform as hypothesized; in some cases they are related quite strongly to civic welfare outcomes such as income levels, poverty rates, and nonmigration rates. We discuss the advantages and disadvantages of working with place-level data and suggest some strategies for subsequent work on small towns and other incorporated places.
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Examining Multi-Level Correlates of Suicide by Merging NVDRS and ACS Data
January 2017
Working Paper Number:
CES-17-25
This paper describes a novel database and an associated suicide event prediction model that surmount longstanding barriers in suicide risk factor research. The database comingles person-level records from the National Violent Death Reporting System (NVDRS) and the American Community Survey (ACS) to establish a case-control study sample that includes all identified suicide cases, while faithfully reflecting general population sociodemographics, in sixteen USA states during the years 2005 2011. It supports a statistical model of individual suicide risk that accommodates person-level factors and the moderation of these factors by their community rates. Named the United States Multi-Level Suicide Data Set (US-MSDS), the database was developed outside the RDC laboratory using publicly available ACS microdata, and reconstructed inside the laboratory using restricted access ACS microdata. Analyses of the latter version yielded findings that largely amplified but also extended those obtained from analyses of the former. This experience shows that the analytic precision achievable using restricted access ACS data can play an important role in conducting social research, although it also indicates that publicly available ACS data have considerable value in conducting preliminary analyses and preparing to use an RDC laboratory. The database development strategy may interest scientists investigating sociodemographic risk factors for other types of low-frequency mortality.
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The Impact of Local Labor Market Conditions on the Demand for Education: Evidence from Indian Casinos
June 2006
Working Paper Number:
CES-06-14
Using restricted-use data from the 1990 and 2000 Census long-form, we analyze the impact of local labor market conditions on the demand for education using the economic shock produced by the opening of a new casino on an Indian reservation as the identifying event. Federal legislation in 1988 allowed Indian tribes to open casinos in many states and since then, over 400 casinos have opened, 240 of which have Las Vegas-style games. We demonstrate that the opening of a casino increased the employment and wages of low-skilled workers. Young adults responded by dropping out of high school and reducing college enrollment rates, even though many tribes have generous college tuition subsidy programs.
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Why Are Black-Owned Businesses Less Successful than White-Owned Businesses? The Role of Families, Inheritances, and Business Human Capital
June 2005
Working Paper Number:
CES-05-06
Four decades ago, Nathan Glazer and Daniel Patrick Moynihan made the argument that the black family "was not strong enough to create those extended clans that elsewhere were most helpful for businessmen and professionals." Using data from the confidential and restricted access Characteristics of Business Owners Survey, we investigate this hypothesis by examining whether racial differences in family business backgrounds can explain why black-owned businesses lag substantially behind white-owned businesses in sales, profits, employment size and survival probabilities? Estimates from the CBO indicate that black business owners have a relatively disadvantaged family business background compared with white business owners. Black business owners are much less likely than white business owners to have had a self-employed family member owner prior to starting their business and are less likely to have worked in that family member's business. We do not, however, find sizeable racial differences in inheritances of business. Using a nonlinear decomposition technique, we find that the relatively low probability of having a self-employed family member prior to business startup among blacks does not generally contribute to racial differences in small business outcomes. Instead, the lack of prior work experience in a family business among black business owners, perhaps by limiting their acquisition of general and specific business human capital, negatively affects black business outcomes. We also find that limited opportunities for acquiring specific business human capital through work experience in businesses providing similar goods and services contribute to worse business outcomes among blacks. We compare these estimates to contributions from racial differences in owner's education, startup capital, geographical location and other factors.
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Families, Human Capital, and Small Business: Evidence from the Characteristics of Business Owners Survey
June 2005
Working Paper Number:
CES-05-07
An important finding in the rapidly growing literature on self-employment is that the probability of self-employment is substantially higher among the children of business owners than among the children of non-business owners. Using data from the confidential and restricted-access Characteristics of Business Owners (CBO) Survey, we provide some suggestive evidence on the causes of intergenerational links in business ownership and the related issue of how having a family business background affects small business outcomes. Estimates from the CBO indicate that more than half of all business owners had a self-employed family member prior to starting their business. Conditional on having a self-employed family member, less than 50 percent of small business owners worked in that family member's business suggesting that it is unlikely that intergenerational links in self-employment are solely due to the acquisition of general and specific business capital and that instead similarities across family members in entrepreneurial preferences may explain part of the relationship. In contrast, estimates from regression models conditioning on business ownership indicate that having a self-employed family member plays only a minor role in determining small business outcomes, whereas the business human capital acquired from prior work experience in a family member's business appears to be very important for business success. Estimates from the CBO also indicate that only 1.6 percent of all small businesses are inherited suggesting that the role of business inheritances in determining intergenerational links in self-employment is limited at best.
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The Case of the Missing Ethnicity: Indians without Tribes in the 21st Century
June 2011
Working Paper Number:
CES-11-17
Among American Indians and Alaska Natives, most aspects of ethnicity are tightly associated with the person's tribal origins. Language, history, foods, land, and traditions differ among the hundreds of tribes indigenous to the United States. Why did almost one million of them fail to respond to the tribal affiliation part of the Census 2000 race question? We investigate four hypotheses about why one-third of multiracial American Indians and one-sixth of single-race American Indians did not report a tribe: (1) survey item non-response which undermines all fillin- the-blank questions, (2) a non-salient tribal identity, (3) a genealogy-based affiliation, and (4) mestizo identity which does not require a tribe. We use multivariate logistic regression models and high-density restricted-use Census 2000 data. We find support for the first two hypotheses and note that the predictors and results differ substantially for single race versus multiple race American Indians.
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RESIDENTIAL MOBILITY ACROSS LOCAL AREAS IN THE UNITED STATES AND THE GEOGRAPHIC DISTRIBUTION OF THE HEALTHY POPULATION
February 2014
Working Paper Number:
CES-14-14
Determining whether population dynamics provide competing explanations to place effects for observed geographic patterns of population health is critical for understanding health inequality. We focus on the working-age population where health disparities are greatest and analyze detailed data on residential mobility collected for the first time in the 2000 US census. Residential mobility over a 5-year period is frequent and selective, with some variation by race and gender. Even so, we find little evidence that mobility biases cross-sectional snapshots of local population health. Areas undergoing large or rapid population growth or decline may be exceptions. Overall, place of residence is an important health indicator; yet, the frequency of residential mobility raises questions of interpretation from etiological or policy perspectives, complicating simple understandings that residential exposures alone explain the association between place and health. Psychosocial stressors related to contingencies of social identity associated with being black, urban, or poor in the U.S. may also have adverse health impacts that track with structural location even with movement across residential areas.
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Individual Changes in Identification with Hispanic Ethnic Origins: Evidence from Linked 2000 and 2010 Census Data
August 2018
Working Paper Number:
carra-2018-08
Population estimates and demographic profiles are central to both academic and public debates about immigration, immigrant assimilation, and minority mobility. Analysts' conclusions are shaped by the choices that survey respondents make about how to identify themselves on surveys, but such choices change over time. Using linked responses to the 2000 and 2010 Censuses, our paper examines the extent to which individuals change between specific Hispanic categories such as Mexican origin. We first examine how changes in identification affect population change for national and regional origin groups. We then examine patterns of entry and exit to understand which groups more often switch between a non-Hispanic, another specific origin, or a general Hispanic identification. Finally, we profile who is most likely to change identification. Our findings affirm the fluidity of ethnic identification, especially between categories of Hispanic origin, which in turn carries important implications for population and compositional changes.
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