PSID Earnings Data 1982
Cross-section data originating from the Panel Study on Income Dynamics, 1982.
data("PSID1982")
A data frame containing 595 observations on 12 variables.
Years of full-time work experience.
Weeks worked.
factor. Is the individual a white-collar ("white"
) or blue-collar ("blue"
) worker?
factor. Does the individual work in a manufacturing industry?
factor. Does the individual reside in the South?
factor. Does the individual reside in a SMSA (standard metropolitan statistical area)?
factor. Is the individual married?
factor indicating gender.
factor. Is the individual's wage set by a union contract?
Years of education.
factor indicating ethnicity.
Is the individual African-American ("afam"
) or not ("other"
)?
Wage.
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.
The data is from Baltagi (2002).
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.
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.
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