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. 2019 May 24;14(5):e0217064. doi: 10.1371/journal.pone.0217064

Table 4. Replication of Table 3 including all enactments, not just first enactment in states.

VARIABLES Model 5: No Policy Need Model 6: With Policy Need
DV: Mandate Generosity DV: Mandate Generosity
Dem. Govt. Control 1.30* 1.27*
(0.178) (0.184)
Citizen Ideology 1.04*** 1.04***
(0.013) (0.015)
Median Household Income 1.00 0.99
(0.00002) (0.00003)
Percent Uninsured 1.06 1.09
(0.075) (0.091)
Percent Employer Sponsored 1.02 1.06
(0.042) (0.059)
Policy Diffusion 0.86 0.65
(0.762) (0.597)
Policy Need—# with ASD 8.16e+18
(8.25e+20)
Percent Self Insured 1.04 1.03
(0.035) (0.036)
Interest Groups—Health 1.01* 1.01
(0.007) (0.008)
Interest Groups—Insurance 0.99 1.003
(0.016) (0.021)
Legislative Professionalism 0.03* 0.05
(0.059) (0.098)
T 0.36* 327.78
(0.215) (1453.23)
T2 1.20*** 0.69
(0.085) (0.244)
T3 0.99** 1.01
(0.003) (0.009)
Observations 619 370
Pseudo R-Squared 0.25 0.19
Log Pseudolikelihood -282.64 -256.03

Robust standard errors in parentheses

*** p<0.01,

** p<0.05,

* p<0.10

Results obtained using ordinal logistic regression including cubic polynomials for time and results clustered by state. In Table 3, states remain in the dataset until they pass their first autism insurance mandate and then they are removed on the assumption that first enactment is a different process than subsequent mandate revision. This table presents an alternative set of results keeping states in the dataset if they have subsequent mandate revisions beyond initial enactment until after all mandate revisions have occurred. Presented results are odds ratios, models using log odds are available in S1 File.