FoodExpenditure | R Documentation |
Data on proportion of income spent on food for a random sample of 38 households in a large US city.
data("FoodExpenditure", package = "betareg")
A data frame containing 38 observations on 3 variables.
household expenditures for food.
household income.
number of persons living in household.
Taken from Griffiths et al. (1993, Table 15.4).
Cribari-Neto, F., and Zeileis, A. (2010). Beta Regression in R. Journal of Statistical Software, 34(2), 1–24. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v034.i02")}
Ferrari, S.L.P., and Cribari-Neto, F. (2004). Beta Regression for Modeling Rates and Proportions. Journal of Applied Statistics, 31(7), 799–815.
Griffiths, W.E., Hill, R.C., and Judge, G.G. (1993). Learning and Practicing Econometrics New York: John Wiley and Sons.
betareg
data("FoodExpenditure", package = "betareg")
## Ferrari and Cribari-Neto (2004)
## Section 4
fe_lin <- lm(I(food/income) ~ income + persons, data = FoodExpenditure)
library("lmtest")
bptest(fe_lin)
## Table 2
fe_beta <- betareg(I(food/income) ~ income + persons, data = FoodExpenditure)
summary(fe_beta)
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