PSID1982 {AER} | R Documentation |
PSID Earnings Data 1982
Description
Cross-section data originating from the Panel Study on Income Dynamics, 1982.
Usage
data("PSID1982")
Format
A data frame containing 595 observations on 12 variables.
- experience
Years of full-time work experience.
- weeks
Weeks worked.
- occupation
factor. Is the individual a white-collar (
"white"
) or blue-collar ("blue"
) worker?- industry
factor. Does the individual work in a manufacturing industry?
- south
factor. Does the individual reside in the South?
- smsa
factor. Does the individual reside in a SMSA (standard metropolitan statistical area)?
- married
factor. Is the individual married?
- gender
factor indicating gender.
- union
factor. Is the individual's wage set by a union contract?
- education
Years of education.
- ethnicity
factor indicating ethnicity. Is the individual African-American (
"afam"
) or not ("other"
)?- wage
Wage.
Details
PSID1982
is the cross-section for the year 1982 taken from a larger panel data set
PSID7682
for the years 1976–1982, originating from Cornwell and Rupert (1988).
Baltagi (2002) just uses the 1982 cross-section; hence PSID1982
is available as a
standalone data set because it was included in AER prior to the availability of the
full PSID7682
panel version.
Source
The data is from Baltagi (2002).
References
Baltagi, B.H. (2002). Econometrics, 3rd ed. Berlin, Springer.
Cornwell, C., and Rupert, P. (1988). Efficient Estimation with Panel Data: An Empirical Comparison of Instrumental Variables Estimators. Journal of Applied Econometrics, 3, 149–155.
See Also
Examples
data("PSID1982")
plot(density(PSID1982$wage, bw = "SJ"))
## Baltagi (2002), Table 4.1
earn_lm <- lm(log(wage) ~ . + I(experience^2), data = PSID1982)
summary(earn_lm)
## Baltagi (2002), Table 13.1
union_lpm <- lm(I(as.numeric(union) - 1) ~ . - wage, data = PSID1982)
union_probit <- glm(union ~ . - wage, data = PSID1982, family = binomial(link = "probit"))
union_logit <- glm(union ~ . - wage, data = PSID1982, family = binomial)
## probit OK, logit and LPM rather different.