Appendix Table 2.

The Effect of the UR on Mother’s Health for the Full sample and for Different Samples of States

	Health status Excellent or Very Good	Health problem limits work	Obesity	Any health insurance	Smokes	>=4 Drinks on 1 Occasion	Drug use	Depressed
Full sample
LOGIT	0.933	0.989	1.024	0.987	1.09	1.091	1.029	0.998
	[−1.755]	[−0.284]	[1.407]	[−0.334]	[1.810]	[1.852]	[0.471]	[−0.033]
LOGIT-FE	0.848	1.073	1.087	0.993	1.256	1.140	1.400	0.941
	[−2.602]	[0.661]	[0.712]	[−0.111]	[2.231]	[1.521]	[2.499]	[−0.791]
N	7,080	7,070	6,178	7,064	7,079	7,070	7,058	7,067
N changers	953	364	511	758	359	491	322	591
Excluding states with the highest population: CA and TX
LOGIT	0.906	1.002	1.017	0.955	1.120	0.99	1.018	0.911
	[−1.172]	[0.029]	[0.392]	[−0.731]	[1.372]	[−0.089]	[0.141]	[−1.001]
LOGIT-FE	0.768	0.987	1.093	0.971	1.275	1.198	1.459	0.859
	[−2.631]	[−0.087]	[0.512]	[−0.284]	[1.610]	[1.299]	[2.089]	[−1.288]
N	5,003	4,997	4,370	4,994	5,003	4,994	4,981	4,984
N changers	667	281	369	484	257	328	238	411
Excluding states with the highest avg. UR: MI and OH
LOGIT	0.906	0.988	1.029	0.986	1.095	1.119	1.015	1.038
	[−2.588]	[−0.299]	[1.413]	[−0.339]	[1.664]	[2.569]	[0.199]	[0.656]
LOGIT-FE	0.832	1.043	1.023	1.01	1.189	1.163	1.198	0.962
	[−2.819]	[0.369]	[0.189]	[0.149]	[1.639]	[1.709]	[1.277]	[−0.483]
N	6,375	6,367	5,567	6,360	6,375	6,365	6,346	6,363
N changers	859	315	447	696	324	441	279	523

Note:

Each coefficient comes from a separate regression.

Logit models control for mother characteristics (age, race/ethnicity, education, income-to-needs ratio, and marital status), and baseline state and year fixed-effects; errors are clustered at the baseline state level (see equation 1). Logit-FE models control for year fixed-effects (see equation 2).

T-statistics are shown in brackets; bold font indicates that the result is statistically significant at the 95% level of confidence.