Estimating Welfare Effects in a Nonparametric Choice Model: The Case of School Vouchers
Vishal Kamat, Samuel Norris

TL;DR
This paper introduces new nonparametric tools to estimate welfare effects of school vouchers, revealing potential large benefits and limitations of standard models in capturing demand and welfare impacts.
Contribution
It develops robust nonparametric methods to analyze welfare effects in choice models, accommodating demand beyond observed prices and addressing identification issues.
Findings
School vouchers can have large positive welfare effects.
Standard logit models underestimate benefits by focusing on low-demand scenarios.
Removing popular low-tuition schools can lead to negative net benefits.
Abstract
We develop new robust discrete choice tools to learn about the average willingness to pay for a price subsidy and its effects on demand given exogenous, discrete variation in prices. Our starting point is a nonparametric, nonseparable model of choice. We exploit the insight that our welfare parameters in this model can be expressed as functions of demand for the different alternatives. However, while the variation in the data reveals the value of demand at the observed prices, the parameters generally depend on its values beyond these prices. We show how to sharply characterize what we can learn when demand is specified to be entirely nonparametric or to be parameterized in a flexible manner, both of which imply that the parameters are not necessarily point identified. We use our tools to analyze the welfare effects of price subsidies provided by school vouchers in the DC Opportunity…
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Taxonomy
TopicsSchool Choice and Performance · Fiscal Policy and Economic Growth · Economic and Environmental Valuation
