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Table 7 Difference-in-Differences-in-Differences Regression Analyses of Texas Reforms Including Full Variable Set

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
DDD Estimator 0.6221** 0.2013 0.1516 −0.0432 0.0817
[0.269] [0.305] [0.245] [0.253] [0.271]
Treatment Dummy 0.1862 0.0750 0.3041*** 0.2471*** 0.0820
[0.215] [0.118] [0.044] [0.061] [0.077]
Control Dummy 1.2415*** 1.5460*** 1.5711*** 1.6950*** 1.6355***
[0.232] [0.280] [0.114] [0.143] [0.174]
Control*Treatment −0.2435 −0.5480 −0.5730** −0.6969*** −0.6375**
[0.321] [0.342] [0.236] [0.246] [0.263]
Reform Dummy −0.0218 −0.0665*** −0.0412*** −0.0263 0.0145
[0.052] [0.023] [0.013] [0.017] [0.023]
Treatment*Reform −0.1455*** −0.1113*** −0.1523*** −0.1608*** −0.1607***
[0.052] [0.040] [0.037] [0.038] [0.038]
Control*Reform 0.0805 0.5010** 0.5507*** 0.7452*** 0.6208***
[0.136] [0.208] [0.091] [0.114] [0.150]
Health Status 0.0124 0.0149 −0.0033 −0.0060 −0.0051
[0.012] [0.010] [0.003] [0.005] [0.004]
Dependents 0.0529 0.0553 0.0003 0.0226* 0.0641***
[0.071] [0.040] [0.005] [0.013] [0.021]
Females −0.0160 0.0069 0.0009 −0.0017 −0.0223*
[0.025] [0.024] [0.010] [0.011] [0.012]
Median Income 0.0000 0.0000 −0.0000 −0.0000 −0.0000
[0.000] [0.000] [0.000] [0.000] [0.000]
Unemployment Rate 0.0215*** 0.0178*** 0.0101*** 0.0095** 0.0077*
[0.008] [0.007] [0.003] [0.004] [0.004]
Constant −0.7595 −1.9630 0.4092 −0.0350 0.0713
[1.976] [1.368] [0.571] [0.674] [0.954]
Observations 2447 2873 42,436 21,281 11,603
R-squared 0.2342 0.3118 0.3472 0.4260 0.3831
  1. Notes: This table presents the results of several difference-in-differences-in-differences analyses obtained using the regressions described generally in eq. 2. 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, “DDD estimator” is the difference-in-differences-in-differences estimator, “Treatment dummy” indicates firms operating in Texas, “Reform Dummy” indicates years following the enactment of the Texas reform measures, “Control dummy” indicates firms operating as health insurers, “Control*Treatment” is the interaction of Control dummy and Treatment dummy, “Treatment*Reform” is the interaction of Treatment dummy and Reform dummy, and “Control*Reform” is the interaction of Control dummy and Reform dummy. “Health status”, “Dependents”, “Females”, “Median income” and “Unemployment rate” are all state-level demographic control variables previously described. 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, **indicates p < 0.05, and *indicates p < 0.1