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Book
Effects of the Tax Deduction for Postsecondary Tuition : Implications for Structuring Tax-Based Aid
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Year: 2015 Publisher: National Bureau of Economic Research

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Digital
The Returns to the Federal Tax Credits for Higher Education
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Year: 2015 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

Three tax credits benefit households who pay tuition and fees for higher education. The credits have been justified as an investment: generating more educated people and thus more earnings and externalities associated with education. The credits have also been justified purely as tax cuts to benefit the middle class. In 2009, the generosity of and eligibility for the tax credits expanded enormously so that their 2011 cost was $25 billion. Using selected, de-identified data from the population of potential filers, we show how the credits are distributed across households with different incomes. We estimate the causal effects of the federal tax credits using two empirical strategies (regression kink and simulated instruments) which we show to be strong and very credibly valid for this application. The latter strategy exploits the massive expansion of the credits in 2009. We present causal estimates of the credits' effects on postsecondary attendance, the type of college attended, the resources experienced in college, tuition paid, and financial aid received. We discuss the implications of our findings for society's return on investment and for the tax credits' budget neutrality over the long term (whether higher lifetime earnings generate sufficient taxes to recoup the tax expenditures). We assess several explanations why the credits appear to have negligible causal effects.


Digital
The Effects of the Tax Deduction for Postsecondary Tuition : Implications for Structuring Tax-Based Aid
Authors: ---
Year: 2015 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Export citation

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Bookmark

Abstract

The federal tax deduction for tuition potentially increases investments in postsecondary education at minimal administrative cost. We assess whether it actually does this using regression discontinuity methods on the income cutoffs that govern eligibility for the deduction. Although many eligible households take nearly the maximum deduction allowed, we find no evidence that it affects attending college (at all), attending full- versus part-time, attending four- versus two-year college, the resources experienced in college, the amount paid for college, or student loans. Our analysis suggests that the deduction's inefficacy may be due to issues of salience, timing, and the method of receipt. We argue that the deduction might increase college-going if it were modified in simple ways that would not increase costs but would make it more likely to relax liquidity constraints and be perceived as a price change (which they is) as opposed to an income change. We outline how such modifications could be tested. This study has independent applied econometrics interest because households who would be just above a cut-off manage their incomes so that they fall slightly below it. This income management generates bias due to reverse causality, and we explore how to choose "doughnut-holes" that avoid bias without undue loss of statistical power.


Book
The Returns to the Federal Tax Credits for Higher Education
Authors: --- ---
Year: 2015 Publisher: Cambridge, Mass. National Bureau of Economic Research

Loading...
Export citation

Choose an application

Bookmark

Abstract

Three tax credits benefit households who pay tuition and fees for higher education. The credits have been justified as an investment: generating more educated people and thus more earnings and externalities associated with education. The credits have also been justified purely as tax cuts to benefit the middle class. In 2009, the generosity of and eligibility for the tax credits expanded enormously so that their 2011 cost was $25 billion. Using selected, de-identified data from the population of potential filers, we show how the credits are distributed across households with different incomes. We estimate the causal effects of the federal tax credits using two empirical strategies (regression kink and simulated instruments) which we show to be strong and very credibly valid for this application. The latter strategy exploits the massive expansion of the credits in 2009. We present causal estimates of the credits' effects on postsecondary attendance, the type of college attended, the resources experienced in college, tuition paid, and financial aid received. We discuss the implications of our findings for society's return on investment and for the tax credits' budget neutrality over the long term (whether higher lifetime earnings generate sufficient taxes to recoup the tax expenditures). We assess several explanations why the credits appear to have negligible causal effects.

Keywords


Book
The Effects of the Tax Deduction for Postsecondary Tuition : Implications for Structuring Tax-Based Aid
Authors: --- ---
Year: 2015 Publisher: Cambridge, Mass. National Bureau of Economic Research

Loading...
Export citation

Choose an application

Bookmark

Abstract

The federal tax deduction for tuition potentially increases investments in postsecondary education at minimal administrative cost. We assess whether it actually does this using regression discontinuity methods on the income cutoffs that govern eligibility for the deduction. Although many eligible households take nearly the maximum deduction allowed, we find no evidence that it affects attending college (at all), attending full- versus part-time, attending four- versus two-year college, the resources experienced in college, the amount paid for college, or student loans. Our analysis suggests that the deduction's inefficacy may be due to issues of salience, timing, and the method of receipt. We argue that the deduction might increase college-going if it were modified in simple ways that would not increase costs but would make it more likely to relax liquidity constraints and be perceived as a price change (which they is) as opposed to an income change. We outline how such modifications could be tested. This study has independent applied econometrics interest because households who would be just above a cut-off manage their incomes so that they fall slightly below it. This income management generates bias due to reverse causality, and we explore how to choose "doughnut-holes" that avoid bias without undue loss of statistical power.

Keywords

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