Longley's Regression Data

Description

US macroeconomic time series, 1947–1962.

Usage

data("Longley")

Format

An annual multiple time series from 1947 to 1962 with 4 variables.

employment

Number of people employed (in 1000s).

price

GNP deflator.

gnp

Gross national product.

armedforces

Number of people in the armed forces.

Details

An extended version of this data set, formatted as a "data.frame" is available as longley in base R.

Source

Online complements to Greene (2003). Table F4.2.

http://pages.stern.nyu.edu/~wgreene/Text/tables/tablelist5.htm

References

Greene, W.H. (2003). Econometric Analysis, 5th edition. Upper Saddle River, NJ: Prentice Hall.

Longley, J.W. (1967). An Appraisal of Least-Squares Programs from the Point of View of the User. Journal of the American Statistical Association, 62, 819–841.

See Also

longley, Greene2003

Examples

data("Longley")
library("dynlm")

## Example 4.6 in Greene (2003)
fm1 <- dynlm(employment ~ time(employment) + price + gnp + armedforces,
  data = Longley)
fm2 <- update(fm1, end = 1961)
cbind(coef(fm2), coef(fm1))

## Figure 4.3 in Greene (2003)
plot(rstandard(fm2), type = "b", ylim = c(-3, 3))
abline(h = c(-2, 2), lty = 2)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(AER)
Loading required package: car
Loading required package: lmtest
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

Loading required package: sandwich
Loading required package: survival
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/AER/Longley.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Longley
> ### Title: Longley's Regression Data
> ### Aliases: Longley
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data("Longley")
> library("dynlm")
> 
> ## Example 4.6 in Greene (2003)
> fm1 <- dynlm(employment ~ time(employment) + price + gnp + armedforces,
+   data = Longley)
> fm2 <- update(fm1, end = 1961)
> cbind(coef(fm2), coef(fm1))
                          [,1]          [,2]
(Intercept)       1.459415e+06  1.169088e+06
time(employment) -7.217561e+02 -5.764643e+02
price            -1.811230e+02 -1.976807e+01
gnp               9.106778e-02  6.439397e-02
armedforces      -7.493705e-02 -1.014525e-02
> 
> ## Figure 4.3 in Greene (2003)
> plot(rstandard(fm2), type = "b", ylim = c(-3, 3))
> abline(h = c(-2, 2), lty = 2)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>