Fertility {AER} | R Documentation |
Cross-section data from the 1980 US Census on married women aged 21–35 with two or more children.
data("Fertility") data("Fertility2")
A data frame containing 254,654 (and 30,000, respectively) observations on 8 variables.
factor. Does the mother have more than 2 children?
factor indicating gender of first child.
factor indicating gender of second child.
age of mother at census.
factor. Is the mother African-American?
factor. Is the mother Hispanic?
factor. Is the mother's ethnicity neither African-American nor Hispanic, nor Caucasian? (see below)
number of weeks in which the mother worked in 1979.
Fertility2
is a random subset of Fertility
with 30,000 observations.
There are conflicts in the ethnicity coding (see also examples). Hence, it was not possible to create a single factor and the original three indicator variables have been retained.
Not all variables from Angrist and Evans (1998) have been included.
Online complements to Stock and Watson (2007).
http://wps.aw.com/aw_stock_ie_2/0,12040,3332253-,00.html
Angrist, J.D., and Evans, W.N. (1998). Children and Their Parents' Labor Supply: Evidence from Exogenous Variation in Family Size American Economic Review, 88, 450–477.
Stock, J.H. and Watson, M.W. (2007). Introduction to Econometrics, 2nd ed. Boston: Addison Wesley.
data("Fertility2") ## conflicts in ethnicity coding ftable(xtabs(~ afam + hispanic + other, data = Fertility2)) ## create convenience variables Fertility2$mkids <- with(Fertility2, as.numeric(morekids) - 1) Fertility2$samegender <- with(Fertility2, factor(gender1 == gender2)) Fertility2$twoboys <- with(Fertility2, factor(gender1 == "male" & gender2 == "male")) Fertility2$twogirls <- with(Fertility2, factor(gender1 == "female" & gender2 == "female")) ## similar to Angrist and Evans, p. 462 fm1 <- lm(mkids ~ samegender, data = Fertility2) summary(fm1) fm2 <- lm(mkids ~ gender1 + gender2 + samegender + age + afam + hispanic + other, data = Fertility2) summary(fm2) fm3 <- lm(mkids ~ gender1 + twoboys + twogirls + age + afam + hispanic + other, data = Fertility2) summary(fm3)