Table 4

Regression estimates used to derive food-away-from-home Engel curves

FoodiesNon-foodies
ParameterModel 1Model 2Model 1Model 2
Intercept0.689*** (0.052)0.799*** (0.067)0.499*** (0.037)0.522*** (0.046)
Log(income)−0.056*** (0.005)−0.062*** (0.006)−0.041*** (0.003)−0.038*** (0.004)
Female −0.021* (0.008) −0.003 (0.006)
25–34 years old −0.030* (0.015) −0.034** (0.013)
35–44 years old −0.020 (0.015) −0.037** (0.013)
45–54 years old −0.037* (0.015) −0.045*** (0.012)
55–64 years old −0.042* (0.017) −0.067*** (0.012)
65–74 years old −0.052** (0.018) −0.064*** (0.012)
74 years or older 0.014 (0.044) −0.065*** (0.015)
High school/GED −0.021 (0.036) 0.009 (0.023)
Some college −0.016 (0.035) −0.003 (0.023)
2-year college degree −0.025 (0.037) −0.020 (0.024)
4-year college degree −0.014 (0.036) −0.006 (0.023)
Master’s degree 0.007 (0.037) 0.002 (0.024)
Professional degree (Ph.D., J.D., M.D., etc.) −0.007 (0.039) −0.006 (0.026)
Adjusted R-squared0.2300.2590.1960.255

Note(s): Numbers in parentheses are standard errors. *, **, and *** indicate statistical significance of an alpha level of α < 0.01, α < 0.05, and α < 0.1. Models 2 estimated with a base of 18–24 year old males with less than a high school education. Foodie models estimated with 448 degrees of freedom and non-foodie models estimated with 568 degrees of freedom

Source(s): Authors’ work

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