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Disconnected Geography: A Spatial Analysis of Disconnected Youth in the United States
January 2016
Working Paper Number:
CES-16-37
Since the Great Recession, US policy and advocacy groups have sought to better understand its effect on a group of especially vulnerable young adults who are not enrolled in school or training programs and not participating in the labor market, so called 'disconnected youth.' This article distinguishes between disconnected youth and unemployed youth and examines the spatial clustering of these two groups across counties in the US. The focus is to ascertain whether there are differences in underlying contextual factors among groups of counties that are mutually exclusive and spatially disparate (non-adjacent), comprising two types of spatial clusters ' high rates of disconnected youth and high rates of unemployed youth. Using restricted, household-level census data inside the Census Research Data Center (RDC) under special permission by the US Census Bureau, we were able to define these two groups using detailed household questionnaires that are not available to researchers outside the RDC. The geospatial patterns in the two types of clusters suggest that places with high concentrations of disconnected youth are distinctly different in terms of underlying characteristics from places with high concentrations of unemployed youth. These differences include, among other things, arrests for synthetic drug production, enclaves of poor in rural areas, persistent poverty in areas, educational attainment in the populace, children in poverty, persons without health insurance, the
social capital index, and elders who receive disability benefits. This article provides some preliminary evidence regarding the social forces underlying the two types of observed geospatial clusters and discusses how they differ.
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DOES FAMILY PLANNING INCREASE CHILDREN'S OPPORTUNITIES?
EVIDENCE FROM THE WAR ON POVERTY AND THE EARLY YEARS OF TITLE X
January 2016
Working Paper Number:
CES-16-29
This paper examines the relationship between parents' access to family planning and the economic resources of the average child. Using the county-level introduction of U.S. family planning programs between 1964 and 1973, we find that children born after programs began had 2.5% higher household incomes. They were also 7% less likely to live in poverty and 11% less likely to live in households receiving public assistance. Even with extreme assumptions about selection, these estimates are large enough to imply that family planning programs directly increased children's resources, including increases in mothers' paid work and increased childbearing within marriage.
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Every Breath You Take, Every Dollar You'll Make: The Long-Term Consequences of the Clean Air Act of 1970
September 2013
Working Paper Number:
CES-13-52
This paper examines the long-term impacts of in-utero and early childhood exposure to ambient air pollution on adult labor market outcomes. We take advantage of a new administrative data set that is uniquely suited for addressing this question because it combines information on individuals' quarterly earnings together with their counties and dates of birth. We use the sharp changes in ambient air pollution concentrations driven by the implementation of the 1970 Clean Air Act Amendments as a source of identifying variation, and we compare cohorts born in counties that experienced large changes in total suspended particulate (TSP) exposure to cohorts born in counties that had minimal or no changes. We nd a signi cant relationship between TSP exposure in the year of birth and adult labor market outcomes. A 10 unit decrease in TSP in the year of birth is associated with a 1 percent increase in annual earnings for workers aged 29-31. Most, but not all, of this effect is driven by an increase in labor force participation. In present value, the gains from being born into a county affected by the 1970 Clean Air Act amount to about $4,300 in lifetime income for the 1.5 million individuals born into
these counties each year.
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Cheaper by the Dozen: Using Sibling Discounts at Catholic Schools to Estimate the Price Elasticity of Private School Attendance
October 2011
Working Paper Number:
CES-11-34
The effect of vouchers on sorting between private and public schools depends upon the price elasticity of demand for private schooling. Estimating this elasticity is empirically challenging because prices and quantities are jointly determined in the market for private schooling. We exploit a unique and previously undocumented source of variation in private school tuition to estimate this key parameter. A majority of Catholic elementary schools offer discounts to families that enroll more than one child in the school in a given year. Catholic school tuition costs therefore depend upon the interaction of the number and spacing of a family's children with the pricing policies of the local school. This within-neighborhood variation in tuition prices allows us to control for unobserved determinants of demand with a fine set of geographic fixed effects, while still identifying the price parameter. We use data from 3700 Catholic schools, matched to restricted Census data that identifies geography at the block level. We find that a standard deviation decrease in tuition prices increases the probability that a family will send its children to private school by one-half percentage point, which translates into an elasticity of Catholic school attendance with respect to tuition costs of -0.19. Our subgroup results suggest that a voucher program would disproportionately induce into private schools those who, along observable dimensions, are unlike those who currently attend private school.
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A Guide to the MEPS-IC Government List Sample Microdata
September 2011
Working Paper Number:
CES-11-27
The Medical Expenditure Panel Survey-Insurance Component (MEPS-IC) is conducted to provide nationally representative estimates on employer sponsored health insurance. MEPSIC data are collected from private sector employers, as well as state and local governments. While similar information is gathered from these two sectors, differences in the survey process exist. The goal of this paper is to provide details on the public sector including types of state and local government employers, sample design, general information on the data collected in the MEPS-IC, and additional sources of information.
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The Effect of Class Size on Teacher Attrition: Evidence from Class Size Reduction Policies in New York State
February 2010
Working Paper Number:
CES-10-05
Starting in 1999, New York State implemented class size reduction policies targeted at early elementary grades, but due to funding limitations, most schools reduced class size in some grades and not others. I use class size variation within a school induced by the policies to construct instrumental variable estimates of the effect of class size on teacher attrition. Teachers with smaller classes were not significantly less likely to leave schools in the full sample of districts but were less likely to leave a school in districts that targeted the same grade across schools. District-wide class size reduction policies were more likely to persist in the same grade in the next year, suggesting that teacher expectations of continued smaller classes played a role in their decision whether or not to leave a school. A decrease in class size from 23 to 20 students (a decrease of one standard deviation) under a district-wide policy decreases the probability that a teacher leaves a school by 4.2 percentage points.
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The Center for Economic Studies 1982-2007: A Brief History
October 2009
Working Paper Number:
CES-09-35
More than half a century ago, visionaries representing both the Census Bureau and the external research community laid the foundation for the Center for Economic Studies (CES) and the Research Data Center (RDC) system. They saw a clear need for a system meeting the inextricably related requirements of providing more and better information from existing Census Bureau data collections while preserving respondent confidentiality and privacy. CES opened in 1982 to house new longitudinal business databases, develop them further, and make them available to qualified researchers. CES and the RDC system evolved to meet the designers' requirements. Research at CES and the RDCs meets the commitments of the Census Bureau (and, recently, of other agencies) to preserving confidentiality while contributing paradigm-shifting fundamental research in a range of disciplines and up-to-the-minute critical tools for decision-makers.
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Complex Survey Questions and the Impact of Enumeration Procedures: Census/American Community Survey Disability Questions
April 2009
Working Paper Number:
CES-09-10
This paper explores challenges relating to the identification of the population with disabilities,focusing on Census Bureau efforts using the 2000 Decennial Census Long-Form (Census 2000) and 2000-2005 American Community Survey (ACS). In particular, the analyses explore the impact of survey methods on responses to the work limitation (i.e., employment disability) question in these two Census products. Building on the research of Stern (2003) and Stern and Brault (2005), we look for further evidence of misreporting of an employment disability by specific sub-populations using the participation in the Supplemental Security Income program as an exogenous employment disability status indicator along with a subset of ACS disability questions. We expand upon these earlier studies by examining both false-positive and falsenegative reports of employment disability by implementing logit estimations to examine the role of respondent/enumerator error on the accuracy of the employment disability response. In this manner, we enhance our understanding of Census 2000 and ACS responses to employment disability questions through an exploration of the role of enumeration procedures in two types of misclassifications, as well as by evaluating existing data and estimates to uncover characteristics that might make an individual more likely to misreport an employment disability.
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Gender Differences in Business Performance: Evidence from the Characteristics of Business Owners Survey
December 2008
Working Paper Number:
CES-08-39
Using confidential microdata from the U.S. Census Bureau, we investigate the performance of female-owned businesses making comparisons to male-owned businesses. Using regression estimates and a decomposition technique, we explore the role that human capital, especially through prior work experience, and financial capital play in contributing to why female-owned businesses have lower survival rates, profits, employment and sales. We find that female-owned businesses are less successful than male-owned businesses because they have less startup capital, and business human capital acquired through prior work experience in a similar business and prior work experience in family business. We also find some evidence that femaleowned businesses work fewer hours and may have different preferences for the goals of their business.
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Preschoolers Enrolled and Mothers at Work? The Effects of Universal Pre-Kindergarten
March 2008
Working Paper Number:
CES-08-04
Three states (Georgia, Oklahoma and Florida) recently introduced Universal Pre- Kindergarten (Universal Pre-K) programs offering free preschool to all age-eligible children, and policy makers in many other states are promoting similar policies. How do such policies affect the participation of children in preschool programs (or do they merely substitute for preschool offered by the market)? Does the implicit child care subsidy afforded by Universal Pre-K change maternal labor supply? I present a model that includes preferences for child quality and shows the directions of change in preschool enrollment and maternal labor supply in response to Universal Pre-K programs are theoretically ambiguous. Using restricted-access data from the Census, together with year and birthday based eligibility cutoffs, I employ a regression discontinuity framework to estimate the effects of Universal Pre-K availability. Universal Pre-K availability increases preschool enrollment by 12 to 15 percent, with the largest effect on children of women with less than a Bachelor's Degree. Universal Pre-K availability has little effect on the labor supply of most women. However, women residing in rural areas in Georgia increase their children's preschool enrollment and their own employment by 22 and 20 percent, respectively, when Universal Pre-K is available.
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