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. Author manuscript; available in PMC: 2014 Dec 1.
Published in final edited form as: J Health Econ. 2013 Dec;32(6):10.1016/j.jhealeco.2013.09.005. doi: 10.1016/j.jhealeco.2013.09.005

Table 4.

Effect of Penetration on Log Hospitalization Costs


Dep Var:
Log Costs
Full Sample Traditional
Medicare FFS
MA Commercial

OLS IV
Payments*Year
OLS IV
Payments*
Year
OLS IV
Payments*
Year
OLS IV
Payments*
Year
MA Managed Care −0.0027*** −0.00239*** −0.0051** −0.0047** −0.0025*** −0.0045** −0.0029*** −0.00204 −0.0026*** −0.0042**
Penetration (0.00075) (0.00066) (0.00200) (0.0019) (0.00060) (0.0019) (0.0010) (0.00263) (0.00056) (0.0017)
Risk Adjusters No Yes No Yes Yes Yes Yes Yes Yes Yes
Covariates Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
Hosp FEs Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
Year FEs Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes
Observations 13,678,534 13,678,534 13,678,534 13,678,534 5,813,942 5,813,942 1,253,227 1,253,227 3,632,805 3,632,805
R-squared 0.031 0.1822 0.030 0.182 0.154 0.154 0.190 0.190 0.212 0.212

Note: Costs are in real 2009 dollars. MA Managed Care Penetration is in percentages (ranging from 0 to 100). Individual level covariates are age, sex, race, and type of insurance. Hospital level covariates are teaching hospital status, for-profit status, and number of beds. County level covariates are population size, % in poverty, % unemployed, per capita income, % male, % white, % black, % Hispanic, % pop under 15, % aged 15–19, % aged 20–20, % aged 25–44, % aged 45–64, % aged 65 and older, # of general practitioners per capita, # of specialists per capita, # of surgeons per capita, # of other physicians per capita. Robust standard errors in parentheses (clustered on county).

***

p<0.01,

**

p<0.05,

*

p<0.1.

Data are from Healthcare Cost and Utilization Project’s state inpatient database for NY, MA, AZ, FL, and CA for 1999–2009 (20% sample) and from the Medicare enrollment files for 1998–2009.