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. Author manuscript; available in PMC: 2019 Oct 2.
Published in final edited form as: Am J Health Econ. 2019 Apr 23;5(2):165–190. doi: 10.1162/ajhe_a_00115

Table 5.

Estimates of treatment effect (β1) by cut-off point and payer

Cut-off point
Sample 1–2 2–3 3–4 4–5
Medicare 0.010
>(0.013)		 0.048***
>(0.016)		 0.037**
>(0.015)		 0.006
>(0.013)
Non-Medicare −0.047**
>(0.021)		 −0.005
>(0.026)		 0.073***
>(0.025)		 0.059***
>(0.021)

Notes: Standard errors in parentheses.

*, **, and ***

indicate treatment effects significantly different between treatment and control nursing homes at 90%, 95%, and 99% confidence levels, respectively.

Outcome is number of admissions by payer. Payer source based on 5-day Minimum Data Set assessment. All models control for the running variable (centered at cut-off point), chain status, hospital-based indicator, type of ownership, Herfindahl–Hirschman Index, Cognitive performance scores, occupancy rate, number of beds, demographics characteristics (education and race), and ratings in the quality and staffing domains. HHI: Herfindahl–Hirschman Index.