Description

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.

Usage

Format

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

Notes

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

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

Examples