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Table 3 Basic Difference-in-Differences Regression Analyses of Texas Reforms

From: The net effects of medical malpractice tort reform on health insurance losses: the Texas experience

  New Jersey Colorado 41 State Subsample 18 State Subsample 9 State Subsample
DD Estimator 0.4276 0.0687 −0.0039 −0.1983 −0.0706
[0.268] [0.304] [0.243] [0.251] [0.269]
Treatment Dummy 0.1557 −0.2526 −0.2653 −0.3743 −0.3398
[0.319] [0.342] [0.233] [0.243] [0.262]
Reform Dummy 0.0689 0.4278** 0.5004*** 0.6948*** 0.5671***
[0.138] [0.209] [0.091] [0.114] [0.150]
Constant 1.5024*** 1.9107*** 1.9234*** 2.0323*** 1.9979***
[0.232] [0.282] [0.113] [0.144] [0.175]
Observations 687 560 5589 2570 1348
R-squared 0.0182 0.0137 0.0110 0.0260 0.0202
  1. Notes: This table presents the results of several difference-in-differences analyses obtained using the regressions described generally in eq. 1. The dependent variable, Losses per Enrollee (LPE), is defined as the dollar amount of health insurance losses incurred by a given insurer, in a given state, during a given year, scaled by the number of plan enrollees for a given insurer, in a given state, during a given year. LPE is also scaled by 1000. In the table, “DD estimator” is the difference-in-differences estimator, “Treatment dummy” indicates firms operating in Texas, and “Reform Dummy” indicates years following the enactment of the Texas reform measures. Each column of output represents a separate analysis that differs only by the subsample of firms used as non-treated groups. Clustered standard errors are presented in parentheses and ***indicates p < 0.01, and **indicates p < 0.05