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Table 6 Basic Differences-in-Differences-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

DDD Estimator

0.6191**

0.2000

0.1505

−0.0424

0.0821

[0.270]

[0.305]

[0.245]

[0.253]

[0.271]

Treatment Dummy

0.3992***

0.2950***

0.3064***

0.3221***

0.2984***

[0.038]

[0.039]

[0.037]

[0.037]

[0.038]

Control Dummy

1.2416***

1.5457***

1.5698***

1.6944***

1.6363***

[0.231]

[0.280]

[0.113]

[0.143]

[0.174]

Control*Treatment

−0.2435

−0.5476

−0.5717**

−0.6964***

−0.6382**

[0.320]

[0.342]

[0.236]

[0.246]

[0.264]

Reform Dummy

−0.0138

−0.0741***

−0.0509***

−0.0494***

−0.0527***

[0.016]

[0.012]

[0.005]

[0.006]

[0.008]

Treatment*Reform

−0.1916***

−0.1312***

−0.1544***

−0.1560***

−0.1527***

[0.041]

[0.039]

[0.037]

[0.037]

[0.037]

Control*Reform

0.0827

0.5019**

0.5513***

0.7442***

0.6198***

[0.138]

[0.208]

[0.091]

[0.114]

[0.150]

Constant

0.2608***

0.3650***

0.3536***

0.3379***

0.3616***

[0.011]

[0.011]

[0.005]

[0.006]

[0.008]

Observations

2447

2873

42,436

21,281

11,603

R-squared

0.2338

0.3113

0.3469

0.4252

0.3794

  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. “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 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. 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