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

Health Economics Review

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

	New Jersey	Colorado	41 State Subsample	18 State Subsample	9 State Subsample
DD Estimator	0.4276	0.0687	−0.0039	−0.1983	−0.0706
DD Estimator	[0.268]	[0.304]	[0.243]	[0.251]	[0.269]
Treatment Dummy	0.1557	−0.2526	−0.2653	−0.3743	−0.3398
Treatment Dummy	[0.319]	[0.342]	[0.233]	[0.243]	[0.262]
Reform Dummy	0.0689	0.4278**	0.5004***	0.6948***	0.5671***
Reform Dummy	[0.138]	[0.209]	[0.091]	[0.114]	[0.150]
Constant	1.5024***	1.9107***	1.9234***	2.0323***	1.9979***
Constant	[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

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

ISSN: 2191-1991