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. Author manuscript; available in PMC: 2013 Jul 2.
Published in final edited form as: J Health Econ. 2011 Jan 18;30(2):221–239. doi: 10.1016/j.jhealeco.2011.01.005

Table 9.

Effects of FMLA Using Unconditional Probability of Eligibility

Birth Weight (g) Gestation (weeks) LBW Premature Total Infant Mortality Infant Mortality: 28 days – 1 year Infant Mortality: <28 days
WHOLE SAMPLE 4.9278** (2.0877) 0.0252+ (0.0149) −0.0021*** (0.0005) −0.0028+ (0.0015) −0.0005** (0.0002) −0.0001 (0.0001) −0.0005** (0.0002)
N 5,474,178 5,464,434 5,474,178 5,464,434 182,895 182,895 182,895
COLLEGE-ED AND MARRIED SAMPLE 6.0616** (2.6420) 0.0214+ (0.0107) −0.0026** (0.0011) −0.0024** (0.0010) −0.0006** (0.0003) −0.0002 (0.0002) −0.0004+ (0.0002)
N 669,830 669,270 669,830 669,270 59,877 59,877 59,877
LESS THAN COLLEGE AND SINGLE SAMPLE 5.6331+ (3.2004) 0.0063 (0.0119) −0.0012 (0.0008) −0.0025+ (0.0014) −0.0003 (0.0004) −0.0001 (0.0002) −0.0001 (0.0003)
N 2,050,765 2,045,790 2,050,765 2,045,790 50,458 50,458 50,458

Notes: The results presented here list the coefficients on the DDD effects of the FMLA on each of the outcomes listed in the top row. Likely eligibility is calculated using the unconditional probability of employment in a firm with 50 or more employees for a given county and year. This probability equals the ratio of approximate employment in all firms with 50 or more employees to the population aged 15–64 in each county and year. Counties that have ever had a year with population less than 1000 people over 1989–1997 are omitted. Please refer to notes under Tables 3 and 4 for details about the samples, controls, and estimation methods. Robust standard errors are clustered on the state. All the regressions are weighted by the cell population.

Significance levels:

+

p<0.10

**

p<0.05

***

p<0.001