Nonparametric estimation of welfare changes
提出一种无需对需求系统做结构假设的非参数方法，用于估计福利变化，并用加拿大房贷数据评估房价上涨的补偿变差和无谓损失。
In this article, I propose a simple nonparametric method of estimating welfare measures with no structural assumptions on the demand system. The method is illustrated for both the single good and the multiple good case, using simulated data. Standard errors of the welfare changes are derived using standard bootstrap techniques. The compensating variation and deadweight loss resulting from a housing price increase is evaluated using Canadian mortgage data. The GAUSS coding, which is very short, is included.