A simple and efficient method for estimating the magnitude and precision of welfare changes
提出一种简单高效的方法，用于估算n方程系统中的福利测度及其方差，算法二次收敛，优于线性收敛的Vartia算法，并以医疗保健价格变化的福利评估为例演示。
Abstract In this article we propose a simple and efficient method of estimating welfare measures in an n ‐equation system. We also estimate the variance of these measures. The accuracy and convergence properties of our approach are studied: the algorithm converges quadratically. This is a distinct improvement over the Vartia algorithm which converges linearly. We demonstrate the method by evaluating the welfare consequences of price changes in the provision of health care. The GAUSS code, which is very short, is included.