Table 5

Regression estimates used to derive food-at-home Engel curves

FoodiesNon-foodies
ParameterModel 1Model 2Model 1Model 2
Intercept1.411*** (0.057)1.425*** (0.074)1.368*** (0.051)1.438*** (0.065)
Log(income)−0.117*** (0.005)−0.122*** (0.006)−0.115*** (0.005)−0.111*** (0.005)
Female −0.001 (0.009) 0.004 (0.009)
25–34 years old −0.018 (0.016) 0.007 (0.018)
35–44 years old −0.001 (0.017) 0.018 (0.018)
45–54 years old 0.010 (0.017) 0.004 (0.017)
55–64 years old −0.025 (0.019) −0.018 (0.017)
65–74 years old −0.019 (0.020) −0.009 (0.017)
74 years or older −0.024 (0.048) −0.017 (0.021)
High school/GED 0.045 (0.039) −0.092** (0.032)
Some college 0.052 (0.039) −0.121*** (0.033)
2-year college degree 0.034 (0.041) −0.127*** (0.033)
4-year college degree 0.045 (0.039) −0.118*** (0.032)
Master’s degree 0.067 (0.040) −0.105** (0.034)
Professional degree (Ph.D., J.D., M.D., etc.) 0.062 (0.044) −0.103** (0.036)
Adjusted R-squared0.5250.5270.5060.522

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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