Measuring the Spatial Distribution of Health Rankings in the United States

Abstract

We would like to thank Charles Courtemanche, Ian McDonough, Erik Nesson, workshop participants at IUPUI, and participants at the 2019 Western Economics Association International annual conference. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

Assessing the quality of public services: For‐profits, chains, and concentration in the hospital market

“…This differentially impacted markets, and hospitals within markets, by improving hospital finances and changing their mix of patients and services. To address whether this policy change is driving our results, we include as an additional covariate the hospitals' county‐level share of uninsured in 2011 (see Davis et al., 2020). 21 The results are unaffected by this additional control variable (Column 5).…”

“…hospitals' county-level share of uninsured in 2011 (see Davis et al, 2020). 21 The results are unaffected by this additional control variable (Column 5).…”

“…Column (3) drops fully monopolistic markets, and (4) hospitals in areas in the top (10th) percentile of the HHI distribution. Column (5) includes the hospital county share of uninsured people from the County Health Rankings (see Davis et al, 2020), ( 6) uses the overall hospital quality (instead of the condition-specific quality measures), ( 7) replaces the HRR FE with the smaller HSA FE where, HSA is a collection of ZIP codes whose residents receive most of their hospitalizations from the hospitals in that area, and (8) measures the HHI on the HSA level and includes HSA FE.…”