STAR_MHE: Transformation of the STAR dataset as used in Angrist and Pischke (2008)

Description

Transformation of the STAR dataset as used in Table 8.2.1 of Angrist and Pischke (2008)

Arguments

Format

A data frame containing 5743 observations and 6 variables. The first variable is from the original dataset, all other are created by Angrist and Pischke STAT code.

schidkn: School ID in kindergarden (original variable, schoolidk in STAR)
pscore: The propensity score (computed by A & P)
classid: The id of the class (computed by A & P)
cs: Class size (computed by A & P)
female, nwhite: Various covariates (computed by A & P)

Details

). This is a transformation of the dataset from the project STAR (Student/Teacher Achievement Ratio. The full dataset is described and available in package AER, STAR. The transformed data was obtained using the STATA script krueger.do, obtained from Joshua Angrist website (https://economics.mit.edu/faculty/angrist/data1/mhe/krueger), on the webstar.dta.

References

Krueger, A. (1999) 'Experimental Estimates Of Education Production Functions,' The Quarterly Journal of Economics, Vol. 114(2), pages 497-532, May.

Angrist, A. ad Pischke J-S (2008) Mostly Harmless Econometrics: An Empiricist's Companion, Princeton University press

Examples

Run this code

# NOT RUN {
data(STAR_MHE)

# Compute the group means:
STAR_MHE_means <- aggregate(STAR_MHE[, c('classid', 'pscore', 'cs')],
                            by=list(STAR_MHE$classid), mean)

# Regression of means, with weighted average:
reg_krug_gls <- lm(pscore~cs, data=STAR_MHE_means, weights=cs)
coef(summary(reg_krug_gls))[2,2]
# }