card: Schooling and earnings dataset

In johnson-shuffle/mixtape: Data for Causal Inference: The Mixtape by Scott Cunningham

Schooling and earnings dataset

Description

Data used in Card (1995) analysis of schooling and earnings.

Usage

card

Format

A data frame with 3010 rows and 37 variables:

id

Residuals

nearc2

Fitted values

nearc4

Residuals

educ

Residuals

age

Fitted values

fatheduc

Residuals

motheduc

Residuals

weight

Fitted values

momdad14

Residuals

sinmom14

Residuals

step14

Fitted values

reg661

Residuals

reg662

Residuals

reg663

Fitted values

reg664

Residuals

reg665

Residuals

reg666

Fitted values

reg667

Residuals

reg668

Residuals

reg669

Fitted values

south66

Residuals

black

Residuals

smsa

Fitted values

south

Residuals

smsa66

Residuals

wage

Fitted values

enroll

Residuals

KWW

Residuals

IQ

Fitted values

married

Residuals

libcrd14

Residuals

exper

Fitted values

lwage

Residuals

expersq

Residuals

u_lwage

Fitted values

lwage_hat

Residuals

u_educ

Residuals

Source

https://www.dropbox.com/s/31xrncpk6gmlns3/Card%201995.pdf\?dl\=0

References

Card, David. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling." NBER Working Paper (1995): 4483.

johnson-shuffle/mixtape documentation built on Nov. 15, 2023, 1:40 p.m.