Price elasticities of demand for curative health care with control for sample selectivity on endogenous illness: an analysis for Sri Lanka
针对仅用患病样本估计医疗需求可能产生偏差的问题，本文通过地理信息匹配和联合估计疾病与医疗需求，发现样本选择偏差显著但价格系数偏误较小。
Estimation of demand for health care with samples of only the ill may bias estimates. Additionally, the lack of exogenous information, especially distance, about the alternative care providers causes omitted variable problems. This paper alleviates both problems through geographic mapping of facility information to individuals, combined with joint estimation of illness (health production) and health care demand. The joint estimation full sample demand results are compared to those from one equation estimation for only the ill sample. The results indicate that the selectivity problem is significant, but that for this sample the magnitude of the bias on the price coefficient is small.