This policy study uses U.S. Census microdata to evaluate how subsidies for universal telephone service vary in their impact across low-income racial groups, gender, age, and home ownership. Our demand specification includes both the subsidized monthly price (Lifeline program) and the subsidized initial connection price (Linkup program) for local telephone service. Our quasimaximum likelihood estimation controls for location differences and instruments for price endogeneity. The microdata allow us to estimate the effects of demographics on both elasticities of telephone penetration and the level of telephone penetration. Based on our preferred estimates, the subsidy programs increased aggregate penetration by 6.1% for low-income households. Our results suggest that Linkup is more cost-effective than Lifeline and that auto-enroll policies are important, which calls into question a recent FCC (2012) decision to reduce Linkup subsidies in favor of Lifeline. Our study can inform the evaluation of similar universal service policies for Internet access.
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You Can Take it With You: Proposition 13 Tax Benefits, Residential Mobility, and Willingness to Pay for Housing Amenities
June 2008
Working Paper Number:
CES-08-15
The endogeneity of prices has long been recognized as the main identification problem in the estimation of marginal willingness to pay (MWTP) for the characteristics of a given product. This issue is particularly important when estimating MWTP in the housing market, since a number of housing and neighborhood features are unobserved by the econometrician. This paper proposes the use of a well defined type of transaction costs ' moving costs generated by property tax laws - to deal with this type of omitted variable bias. California's Proposition 13 property tax law is the source of variation in transaction costs used in the empirical analysis. Beyond its fiscal consequences, Proposition 13 created a lock-in effect on housing choice because of the implicit tax break enjoyed by homeowners living in the same house for a long time. First, I provide estimates of this lock-in effect using a natural experiment created by two subsequent amendments to Proposition 13 - Propositions 60 and 90. These amendments allow households headed by an individual over the age of 55 to transfer the implicit tax benefit to a new home. I show that mobility rates of 55-year old homeowners are approximately 25% higher than those of 54 year olds. Second, all these features of the tax law are then incorporated into a household sorting model. The key insight of this model is that because of the property tax law, different potential buyers have different user costs for the same house. The exogenous property tax component of this user cost then works as an instrument for prices. I find that MWTP estimates for housing characteristics are approximately 100% upward biased when the model does not account for the price endogeneity.
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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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The Shifting of the Property Tax on Urban Renters: Evidence from New York State's Homestead Tax Option
December 2020
Working Paper Number:
CES-20-43
In 1981, New York State enabled their cities to adopt the Homestead Tax Option (HTO), which created a multi-tiered property tax system for rental properties in New York City, Buffalo, and Rochester. The HTO enabled these municipalities to impose a higher property tax rate on rental units in buildings with four or more units, compared to rental units in buildings with three or fewer units. Using restricted-use American Housing Survey data and historical property tax rates from each of these cities, we exploit within-unit across-time variation in property tax rates and rents to estimate the degree to which property taxes are shifted onto renters in the form of higher rents. We find that property owners shift approximately 14 percent of an increase in taxes onto renters. This study is the first to use within-unit across time variation in property taxes and rents to identify this shifting effect. Our estimated effect is measurably smaller than most previous studies, which often found shifting effects of over 60 percent.
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What Drives Racial Segregation? New Evidence Using Census Microdata
October 2002
Working Paper Number:
CES-02-26
Residential segregation on the basis of race is widespread and has important welfare consequences. This paper sheds new light on the forces that drive observed segregation patterns. Making use of restricted micro-Census data from the San Francisco Bay Area and a new measurement framework, it assesses the extent to which the correlation of race with other household characteristics, such as income, education and immigration status, can explain a significant portion of observed racial segregation. In contrast to the findings of the previous literature, which has been hampered by serious data limitations, our analysis indicates that individual household characteristics can explain a considerable fraction of segregation by race. Taken together, we find that the correlation of race with other household attributes can explain almost 95 percent of segregation for Hispanic households, over 50 percent for Asian households, and approximately 30 percent for White and Black households. Our analysis also indicates that different factors drive the segregation of different races. Language explains a substantial proportion - more than 30 percent - of Asian and Hispanic segregation, education explains a further 20 percent of Hispanic segregation, while income is the most important non-race household characteristic for Black households, explaining around 10 percent of Black segregation.
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Where to Build Affordable Housing?
Evaluating the Tradeoffs of Location
December 2023
Working Paper Number:
CES-23-62R
How does the location of affordable housing affect tenant welfare, the distribution of assistance, and broader societal objectives such as racial integration? Using administrative data on tenants of units funded by the Low-Income Housing Tax Credit (LIHTC), we first show that characteristics such as race and proxies for need vary widely across neighborhoods. Despite fixed eligibility requirements, LIHTC developments in more opportunity-rich neighborhoods house tenants who are higher income, more educated, and far less likely to be Black. To quantify the welfare implications, we build a residential choice model in which households choose from both market-rate and affordable housing options, where the latter must be rationed. While building affordable housing in higher-opportunity neighborhoods costs more, it also increases household welfare and reduces city-wide segregation. The gains in household welfare, however, accrue to more moderate-need, non-Black/Hispanic households at the expense of other households. This change in the distribution of assistance is primarily due to a 'crowding out' effect: households that only apply for assistance in higher-opportunity neighborhoods crowd out those willing to apply regardless of location. Finally, other policy levers'such as lowering the income limits used for means-testing'have only limited effects relative to the choice of location.
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Small Homes, Public Schools, and Property Tax Capitalization
March 2013
Working Paper Number:
CES-13-04
Efforts to estimate the degree to which local property taxes are capitalized into house values are complicated by any spurious correlation between property taxes and unobserved public services. One public service of particular interest is the provision of local public schools. Not only do public schools bulk large in the local property tax bill, but the inherent difficulty in measuring school quality has potentially undermined earlier attempts at achieving unbiased estimates of property tax capitalization. This particular problem has been of special concern since Oates' (1969) seminal paper. We sidestep the problem of omitted or misspecified measures of school quality by focusing on a segment of the housing market that likely places little-to-no value on school quality: small homes. Because few households residing in small homes have public school children, we anticipate that variations in their value does not account for differentials in public school quality. Using restricted-access microdata provided by the U.S. Census, and a quasi- experimental identification strategy, we estimate that local property taxes are nearly fully capitalized into the prices of small homes.
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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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Has Falling Crime Invited Gentrification?
January 2017
Working Paper Number:
CES-17-27
Over the past two decades, crime has fallen dramatically in cities in the United States. We explore whether, in the face of falling central city crime rates, households with more resources and options were more likely to move into central cities overall and more particularly into low income and/or majority minority central city neighborhoods. We use confidential, geocoded versions of the 1990 and 2000 Decennial Census and the 2010, 2011, and 2012 American Community Survey to track moves to different neighborhoods in 244 Core Based Statistical Areas (CBSAs) and their largest central cities. Our dataset includes over four million household moves across the three time periods. We focus on three household types typically considered gentrifiers: high-income, college-educated, and white households. We find that declines in city crime are associated with increases in the probability that highincome and college-educated households choose to move into central city neighborhoods, including low-income and majority minority central city neighborhoods. Moreover, we find little evidence that households with lower incomes and without college degrees are more likely to move to cities when violent crime falls. These results hold during the 1990s as well as the 2000s and for the 100 largest metropolitan areas, where crime declines were greatest. There is weaker evidence that white households are disproportionately drawn to cities as crime falls in the 100 largest metropolitan areas from 2000 to 2010.
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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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A Unified Framework for Measuring Preferences for Schools and Neighborhoods
October 2007
Working Paper Number:
CES-07-27
This paper develops a comprehensive framework for estimating household preferences for school and neighborhood attributes in the presence of sorting. It embeds a boundary discontinuity design in a heterogeneous model of residential choice to address the endogeneity of school and neighborhood attributes. The model is estimated using restricted-access Census data from a large metropolitan area, yielding a number of new results. First, households are willing to pay less than one percent more in house prices ' substantially lower than previous estimates ' when the average performance of the local school increases by five percent. Second, much of the apparent willingness to pay for more educated and wealthier neighbors is explained by the correlation of these sociodemographic measures with unobserved neighborhood quality. Third, neighborhood race is not capitalized directly into housing prices; instead, the negative correlation of neighborhood race and housing prices is due entirely to the fact that blacks live in unobservably lower quality neighborhoods. Finally, there is considerable heterogeneity in preferences for schools and neighbors: in particular, we find that households prefer to selfsegregate on the basis of both race and education.
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