fair

Description

Wooldridge Source: R.C. Fair (1996), “Econometrics and Presidential Elections,” Journal of Economic Perspectives 10, 89-102. The data set is provided in the article. Data loads lazily.

Usage

data('fair')

Format

A data.frame with 21 observations on 28 variables:

• year: 1916 to 1992, by 4

• V: prop. dem. vote

• I: =1 if demwh, -1 if repwh

• DPER: incumbent running

• DUR: duration

• g3: avg ann grwth rte, prev 3 qrts

• p15: avg ann inf rate, prev 15 qtrs

• n: quarters of good news

• g2: avg ann grwth rte, prev 2 qrts

• gYR: ann grwth rte, prev year

• p8: avg ann inf rate, prev 8 qtrs

• p2YR: inf rte over 2 yr period

• Ig2: I*g2

• Ip8: I*p8

• demwins: =1 if V > .5

• In: I*n

• d: =1 in 1920, 1944,1948

• Id: I*d

• Ig3: I*g3

• Ip151md: I*p15*(1-d)

• In1md: I*n*(1-d)

Notes

An updated version of this data set, through the 2004 election, is available at Professor Fair’s web site at Yale University: http://fairmodel.econ.yale.edu/rayfair/pdf/2001b.htm. Students might want to try their own hands at predicting the most recent election outcome, but they should be restricted to no more than a handful of explanatory variables because of the small sample size.

Used in Text: pages 362-363, 440, 442

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

Examples

 str(fair)