291 research outputs found

    The Productivity of Schools and Other Local Public Goods Providers

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    I construct an agency model of local public goods producers with special reference to public schools. The model assumes that households make Tiebout choices among jurisdictions, but it has more realistic assumptions about information and the cost of residential mobility. I examine producers' effort and rent under local property tax finance and centralized finance. I show that, if there are a sufficient number of jurisdictions to choose among, conventional local property tax finance substantially reduces the agency problem and associated loss of productivity. Specifically, I demonstrate that local property tax finance can attain about as much productivity as a social planner with centralized finance can, even if the social planner is armed with more information that a real social planner could plausibly have. The key insight is that decentralized Tiebout choices make some information the social planner would need verifiable and other information unnecessary.

    Competition Among Public Schools: A Reply to Rothstein (2004)

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    Rothstein has produced two comments, Rothstein (2003) and Rothstein (2004), on Hoxby "Does Competition Among Public Schools Benefit Students and Taxpayers," American Economic Review, 2000. In this paper, I discuss every claim of any importance in the comments. I show that every claim is wrong. I also discuss a number of Rothstein's innuendos--that is, claims that are made by implication rather than with the support of explicit arguments or evidence. I show that, when held up against the evidence, each innuendo proves to be false. One of the major points of Rothstein (2003) is that lagged school districts are a valid instrumental variable for today's school districts. This is not credible. Another major claim of Rothstein (2003) is that it is better to use highly non-representative achievement data based on students' self-selecting into test-taking than to use nationally representative achievement data. This claim is wrong for multiple reasons. The most important claim of Rothstein (2004) is that the results of Hoxby (2000) are not robust to including private school students in the sample. This is incorrect. While Rothstein appears merely to be adding private school students to the data, he actually substitutes error-prone data for error-free data on all students, generating substantial attenuation bias. He attributes the change in estimates to the addition of the private school students, but I show that the change in estimates is actually due to his using erroneous data for public school students. Another important claim in Rothstein (2004) that the results in Hoxby (2000) are not robust to associating streams with the metropolitan areas through which they flow rather than the metropolitan areas where they have their source. This is false: the results are virtually unchanged when the association is shifted from source to flow. Since 93.5 percent of streams flow only in the metropolitan area where they have their source, it would be surprising if the results did change much. The comments Rothstein (2003) and Rothstein (2004) are without merit. All of the data and code used in Hoxby (2000) are available to other researchers. An easy-to-use CD provides not only extracts and estimation code, but all of the raw data and the code for constructing the dataset.

    Informing Students about Their College Options: A Proposal for Broadening the Expanding College Opportunities Project

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    Most high-achieving, low-income students do not even apply to selective colleges despite being highly qualified for admission and success at these institutions. Because they do not apply, these students forgo the generous academic resources, increased financial aid, and better collegiate and career opportunities that selective schools offer. To increase opportunities and improve outcomes for these students, we propose building on the success of an innovative intervention, the Expanding College Opportunities (ECO) Project. At a relatively low cost of about $6 per student contacted, ECO sent the following to high-achieving, low-income students: targeted and personalized information on their college options, information on the process for applying, and details of the financial information relevant to their situations. The intervention had a profound effect on their college application behavior, leading to a substantial increase in their propensity to apply to more-selective colleges commensurate with their academic achievements. Not only did students apply to more-selective schools, but they were accepted and matriculated at such schools in greater numbers, and early evidence points to their academic success in these programs. The promising results of this low-cost program suggest that ECO should be expanded. This paper proposes steps to expand and improve ECO to reach more low-income, high-achieving students across the country by partnering with respected third-party organizations such as the College Board and ACT. ECO can also serve as a model for designing and applying this type of intervention to other populations of students. The success of the ECO Project highlights the importance of researchers being able to access relevant government data to design targeted and effective programs and polici

    Do and Should Financial Aid Packages Affect Students' College Choices?

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    Every year, thousands of high school seniors with high college aptitude face complicated menus' of scholarship and aid packages designed to affect their college choices. Using an original survey designed for this paper, we investigate whether students respond to their menus' like rational human capital investors. Whether they make the investments efficiently is important not only because they are the equivalent of the Fortune 500' for human capital, but also because they are likely to be the most analytic and long-sighted student investors. We find that the typical high aptitude student chooses his college and responds to aid in a manner that is broadly consistent with rational investment. However, we also find some serious anomalies: excessive response to loans and work-study, strong response to superficial aspects of a grant (such as whether it has a name), and response to a grant's share of college costs rather than its amount. Approximately 30 percent of high aptitude students respond to aid in a way that apparently reduces their lifetime present value. While both a lack of sophistication/information and credit constraints can explain the behavior of this 30 percent of students, the weight of the evidence favors a lack of sophistication.

    Robin Hood and His Not-So-Merry Plan: Capitalization and the Self-Destruction of Texas' School Finance Equalization Plan

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    School finance schemes control the allocation of 370billionayearintheUnitedStates,buttheireconomicsarepoorlyunderstood.Weexamineanilluminatingexample:Texas′RobinHood′scheme,whichwasenactedin1994,allocatesabout370 billion a year in the United States, but their economics are poorly understood. We examine an illuminating example: Texas' Robin Hood' scheme, which was enacted in 1994, allocates about 30 billion a year, and is currently collapsing and likely to be abandoned. We show that the collapse was predictable. Robin Hood's design causes substantial negative capitalization, shrinking its own tax base. It relies only slightly on relatively efficient (pseudo lump sum) redistibution and heavily on high marginal tax rates. Although Robin Hood reduced the spending gap between Texas' property-poor and property-rich districts by 500perpupil,itdestroyedabout500 per pupil, it destroyed about 27,000 per pupil in property wealth. The magnitude of this loss is important: if the state had efficiently confiscated the same wealth and invested it, it would generate sufficient annual income to make all Texas schools spend at a high leval. The Robin Hood scheme is stringent but not bizarre: other states' systdms share its features to some degree. We provide estimates of the effects of school finance system parameters, which policy makers could use to design systems that are more efficient and stable.
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