Table 6

Regression estimates used to derive total food expenditures Engel curves

FoodiesNon-foodies
ParameterModel 1Model 2Model 1Model 2
Intercept2.100*** (0.089)2.223*** (0.116)1.868*** (0.076)1.960*** (0.096)
Log(income)−0.173*** (0.008)−0.184*** (0.010)−0.156*** (0.007)−0.149*** (0.008)
Female −0.022 (0.014) 0.001 (0.013)
25–34 years old −0.048 (0.025) −0.027 (0.027)
35–44 years old −0.021 (0.026) −0.019 (0.026)
45–54 years old −0.027 (0.027) −0.041 (0.026)
55–64 years old −0.067* (0.029) −0.085*** (0.025)
65–74 years old −0.070* (0.031) −0.072** (0.025)
74 years or older −0.009 (0.075) −0.082** (0.031)
High school/GED 0.024 (0.061) −0.083. (0.048)
Some college 0.036 (0.061) −0.124* (0.048)
2-year college degree 0.009 (0.063) −0.147** (0.049)
4-year college degree 0.031 (0.061) −0.124** (0.048)
Master’s degree 0.074 (0.063) −0.103* (0.050)
Professional degree (Ph.D., J.D., M.D., etc.) 0.056 (0.068) −0.109* (0.054)
Adjusted R-squared0.4950.5060.4570.485

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

or Create an Account

Close Modal
Close Modal