Revealed Preference Analysis with Normal Goods: Application to Cost-of-Living Indices
提出一种在正常品假设下进行非参数需求分析的显示偏好方法，允许对任意商品子集施加正常性约束，并通过生活成本指数进行福利分析。利用美国PSID数据表明，温和的正常性假设能显著收紧生活成本指数的区间，并更有效地识别2008年金融危机后福利变化的人群。
We present a revealed preference methodology for nonparametric demand analysis under the assumption of normal goods. Our methodology is flexible in that it allows for imposing normality on any subset of goods. We show the usefulness of our methodology for empirical welfare analysis through cost-of-living indices. An illustration to US consumption data drawn from the Panel Study of Income Dynamics (PSID) demonstrates that mild normality assumptions can substantially strengthen the empirical analysis. It obtains considerably tighter bounds on cost-of-living indices and a significantly more informative classification of better-off and worse-off individuals after the 2008 financial crisis.