| expendshares | R Documentation |
Wooldridge Source: Blundell, R., A. Duncan, and K. Pendakur (1998), “Semiparametric Estimation and Consumer Demand,” Journal of Applied Econometrics 13, 435-461. I obtained these data from the Journal of Applied Econometrics data archive at http://qed.econ.queensu.ca/jae/. Data loads lazily.
data('expendshares')
A data.frame with 1519 observations on 13 variables:
sfood: share of food expenditures (out of total)
sfuel: share of fuel expenditures
sclothes: share of clothing expenditures
salcohol: share of alcohol expenditures
stransport: share of transportation expenditures
sother: share of other expenditures
totexpend: total expenditure, British pounds per week
income: family income, British pounds per week
age: age of household head
kids: number of children: 1 or 2
ltotexpend: log(totexpend)
lincome: log(income)
agesq: age^2
The dependent variables in this data set – the expenditure shares – are necessarily bounded between zero and one. The linear model is at best an approximation, but the usual IV estimator likely gives good estimates of the average partial effects.
Used in Text: pages 581-582
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
str(expendshares)