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. Author manuscript; available in PMC: 2013 Dec 1.
Published in final edited form as: Int Rev Law Econ. 2012 Dec;32(4):356–369. doi: 10.1016/j.irle.2012.07.003

Table 7.

OLS Regression of Health Care Costs on Malpractice Costs.

Timing of Malpractice Awards Per Capita:
Current Year Three-Year Moving Average: Lags 1, 2 and 3 Years
Hospital Cost Estimates
Dependent Variable: Hospital facility expenditures per bed
Malpractice Awards Per Capita -117.459 (143.050) -197.162 (197.106)
Elasticity -0.0026 -0.0039
Dependent Variable: Hospital facility expenditures per bed-day
Malpractice Awards Per Capita -0.296* (0.150) -0.355 (0.564)
Elasticity -0.0031 -0.0035
Total Deaths per 1,000 Population
Malpractice Awards Per Capita 0.005** (0.002) 0.013* (0.007)
Elasticity 0.0037 0.0092
Deaths per 1,000 Age 20 to 64
Malpractice Awards Per Capita 0.003* (0.001) 0.005 (0.004)
Elasticity 0.0042 0.0075
Deaths per 1,000 Age 65 and up
Malpractice Awards Per Capita 0.019*** (0.007) 0.050* (0.027)
Elasticity 0.0023 0.0059

Notes: The table reports the estimated effect of per capita malpractice jury award dollars on medical expenditures. Each coefficient is from a separate regression, and each column represents a different lag for the malpractice variable. The unit of analysis is a hospital-year. County population is used as a weight in all regressions. Other explanatory variables include hospital and year fixed-effects, a quadratic for per capita income, the percent of the population that is male, white, African-American, and that falls into 5-year age ranges. Elasticities are evaluated at the mean values of the dependent and independent variables. Robust standard errors allowing clustering at the county level are reported in parentheses.

***

A *** represents statistical significance at the 1% level.