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Table 4 Difference-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

DD Estimator

0.5193*

0.1734

0.0566

−0.1421

−0.1018

[0.292]

[0.291]

[0.249]

[0.262]

[0.276]

Treatment Dummy

−0.5373

−0.1091

0.2461

0.1101

−0.3308

[0.748]

[0.578]

[0.331]

[0.545]

[0.755]

Reform Dummy

0.1043

0.2086

0.3786***

0.5063**

0.6322**

[0.163]

[0.139]

[0.130]

[0.199]

[0.247]

Health Status

−0.0056

0.0253

−0.0285

−0.0319

−0.0535

[0.037]

[0.043]

[0.027]

[0.042]

[0.038]

Dependents

0.2297

−0.0202

−0.1281***

−0.0814

0.0458

[0.215]

[0.200]

[0.048]

[0.121]

[0.198]

Females

−0.0646

−0.0173

−0.0125

0.0355

0.0006

[0.063]

[0.118]

[0.073]

[0.085]

[0.109]

Median Income

0.0000

0.0000

−0.0000

0.0000

−0.0000

[0.000]

[0.000]

[0.000]

[0.000]

[0.000]

Unemployment Rate

0.0774***

0.0347

0.0607***

0.0714**

0.0600*

[0.023]

[0.031]

[0.021]

[0.029]

[0.033]

Constant

−1.9597

1.2360

6.0315

1.6430

1.6183

[5.237]

[7.573]

[4.276]

[5.848]

[9.012]

Observations

687

560

5589

2570

1348

R-squared

0.0202

0.0161

0.0197

0.0370

0.0276

  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. “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. “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