Producing Health: Measuring Value Added of Nursing Homes

• 成果类型: Article
• 署名作者: Einav, Liran; Finkelstein, Amy; Mahoney, Neale
• 署名单位: Stanford University; National Bureau of Economic Research; Massachusetts Institute of Technology (MIT)
• 刊物名称: ECONOMETRICA
• ISSN/ISSBN: 0012-9682
• DOI: 10.3982/ECTA21016
• 发表日期: 2025
• 页码: 1225-1264
• 关键词: quality; care; selection; impacts; specification; inference; variables; BIAS

摘要

We develop a stylized model that allows us to estimate a value-added measure for nursing homes (SNFs) which accounts for patient selection both into and out of a SNF. We use the model, together with detailed data on the physical and mental health of about 6 million Medicare SNF patients between 2011 and 2016, to estimate the value added for about 14,000 distinct SNFs. We document substantial heterogeneity in value added. Nationwide, compared to a 10th percentile SNF, a 90th percentile SNF is able to discharge a patient at the same health level almost a week sooner, or one quarter of the median length of stay. Heterogeneity in value added within a market is almost as large as it is nationwide. Our results point to the potential for substantial gains through policies that encourage reallocation of patients to higher-quality SNFs within their market.