paper-with-me

홈 › Papers

Estimating Welfare Effects in a Nonparametric Choice Model: The Case of School Vouchers

2020-01-31 · Vishal Kamat, Samuel Norris

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 Scholarship Program. We find that the provision of the status quo voucher and a wide range of counterfactual vouchers of different amounts can have positive and potentially large benefits net of costs. The positive effect can be explained by the popularity of low-tuition schools in the program; removing them from the program can result in a negative net benefit. We also find that various standard logit specifications, in comparison, limit attention to demand functions with low demand for the voucher, which do not capture the large magnitudes of benefits credibly consistent with the data.

📄 PDF Abstract BibTeX arXiv:2002.00103

Code (0)

등록된 구현이 없습니다.

Tasks

counterfactual

Similar Papers 제목 키워드 기반

Incorporating Social Welfare in Program-Evaluation and Treatment Choice

2021-05-18 · Debopam Bhattacharya, Tatiana Komarova

The econometric literature on treatment-effects typically takes functionals of outcome-distributions as `social welfare' and ignores program-impacts on unobserved utilities. We show how to incorporate aggregate utility w…

Identifying the Distribution of Welfare from Discrete Choice

2023-03-05 · Bart Capéau, Liebrecht De Sadeleer, Sebastiaan Maes

Empirical welfare analyses often impose stringent parametric assumptions on individuals' preferences and neglect unobserved preference heterogeneity. We develop a framework to conduct individual and social welfare analys…

Policy Choice in Time Series by Empirical Welfare Maximization

2022-05-08 · Toru Kitagawa, Weining Wang, Mengshan Xu

This paper develops a novel method for policy choice in a dynamic setting where the available data is a multi-variate time series. Building on the statistical treatment choice framework, we propose Time-series Empirical …

Time SeriesTime Series Analysis

Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning

2023-06-06 · Kwangho Kim, José R. Zubizarreta

We propose a simple and general framework for nonparametric estimation of heterogeneous treatment effects under fairness constraints. Under standard regularity conditions, we show that the resulting estimators possess th…

Fairness

Nonparametric estimation of causal heterogeneity under high-dimensional confounding

2019-08-23

This paper considers the practically important case of nonparametrically estimating heterogeneous average treatment effects that vary with a limited number of discrete and continuous covariates in a selection-on-observab…

BIG-bench Machine LearningVocal Bursts Intensity Prediction