Robustness Measures for Welfare Analysis

69 Pages Posted: 20 Sep 2021 Last revised: 23 May 2022

See all articles by Zi Yang Kang

Zi Yang Kang

University of Toronto - Department of Economics

Shoshana Vasserman

Stanford Graduate School of Business

Multiple version iconThere are 2 versions of this paper

Date Written: September 19, 2021

Abstract

Economists routinely make functional form assumptions on demand curves to derive welfare conclusions. How sensitive are these conclusions to such assumptions? In this paper, we develop robustness measures that quantify the extent to which the true demand curve must deviate from common functional form assumptions in order to overturn a welfare conclusion. We parametrize this variability in terms of the gradient and curvature of the demand curve. By leveraging tools from information design, we show that our measures are easy to compute. Our measures are also flexible and easy to use, as we illustrate through several empirical applications.

Keywords: welfare analysis, welfare bounds, robustness, functional form assumptions

JEL Classification: C14, C51, D04, D61, F14, H21, Q48

Suggested Citation

Kang, Zi Yang and Vasserman, Shoshana, Robustness Measures for Welfare Analysis (September 19, 2021). Available at SSRN: https://ssrn.com/abstract=3926399 or http://dx.doi.org/10.2139/ssrn.3926399

Zi Yang Kang (Contact Author)

University of Toronto - Department of Economics ( email )

150 St. George Street
Toronto, Ontario M5S3G7
Canada

Shoshana Vasserman

Stanford Graduate School of Business ( email )

655 Knight Way
Stanford, CA 94305-5015
United States

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