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AER (version 0.2-2)

TeachingRatings: Impact of Beauty on Instructor's Teaching Ratings

Description

Data on course evaluations, course characteristics, and professor characteristics for 463 courses for the academic years 2000--2002 at the University of Texas at Austin.

Usage

data("TeachingRatings")

Arguments

source

The data were provided by Prof. Hamermesh. The first 8 variables are also available in the online complements to Stock and Watson (2007) at

http://wps.aw.com/aw_stock_ie_2/

Details

A sample of student instructional ratings for a group of university teachers along with beauty rating (average from six independent judges) and a number of other characteristics.

References

Hamermesh, D.S., and Parker, A. (2005). Beauty in the Classroom: Instructors' Pulchritude and Putative Pedagogical Productivity. Economics of Education Review, (24), 369--376.

Stock, J.H. and Watson, M.W. (2007). Introduction to Econometrics, 2nd ed. Boston: Addison Wesley.

StockWatson2007

data("TeachingRatings")

## evaluation score vs. beauty plot(eval ~ beauty, data = TeachingRatings) fm <- lm(eval ~ beauty, data = TeachingRatings) abline(fm) summary(fm)

## prediction of Stock & Watson's evaluation score sw <- with(TeachingRatings, mean(beauty) + c(0, 1) * sd(beauty)) names(sw) <- c("Watson", "Stock") predict(fm, newdata = data.frame(beauty = sw))

## Hamermesh and Parker, 2005, Table 3 fmw <- lm(eval ~ beauty + gender + minority + native + tenure + division + credits, weights = students, data = TeachingRatings) coeftest(fmw, vcov = sandwich) ## (same coefficients but with different covariances)

datasets