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. Author manuscript; available in PMC: 2020 Jul 15.
Published in final edited form as: Econ Hum Biol. 2015 Aug 29;19:170–183. doi: 10.1016/j.ehb.2015.08.006

Table 4:

DD Estimates of Changes in Selected Micronutrient Intake (n=4,158)

Total Calories Fiber (gms) Sodium (mg) Vitamin C (mg) Vitamin D (mcg)
ARRA 0.12*** (0.03) 0.28*** (0.09) 0.18*** (0.03) 0.16 (0.13) 0.15 (0.18)

SNAP-ELIG −0.02 (0.03) −0.03 (0.04) 0.004 (0.03) −0.03 (0.07) −0.19** (0.08)

SNAP-ELIG*ARRA −0.02 (0.03) −0.05 (0.05) −0.03 (0.04) 0.02 (0.08) 0.16* (0.09)
Parallel Trends (p-value) 0.51 0.15 0.70 0.97 0.09

Controlling for Total Energy Intake
ARRA - 0.21** (0.09) 0.09*** (0.03) 0.19 (0.14) −0.03 (0.17)

SNAP-ELIG - −0.02 (0.04) 0.02 (0.02) −0.04 (0.07) −0.20** (0.08)

SNAP-ELIG*ARRA - −0.04 (0.05) −0.004 (0.03) 0.03 (0.07) 0.19** (0.08)
Parallel Trends (p-value) - 0.29 0.75 0.73 0.03

Standard errors are in parentheses.

***

p<0.01

**

p<0.05

*

p<0.10

Models also control for age, gender, education (high school/ged; some college; college grad; missing education), employment status, race/ethnicity, the ratio of household income to federal poverty threshold, household size, family structure (divorced/separated/widowed/never married, missing marital status), quarterly time trend, and state fixed effects.

The percentage change is calculated as exp(β) – 1.

Source: NHANES 2007–2010