Robustness Measures for Welfare Analysis
开发了量化需求曲线函数形式假设对福利结论影响程度的稳健性度量，利用信息设计工具简化计算，并通过实证应用展示其灵活易用性。
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 empirical applications.