wagnerGrowth: Wagner's Hannover Employment Growth Data

In robustbase: Basic Robust Statistics

Wagner's Hannover Employment Growth Data

Description

Wagner (1994) investigates the rate of employment growth (y) as function of percentage of people engaged in producation activities (PA) and higher services (HS) and of the growth of these percentages (GPA, GHS) during three time periods in 21 geographical regions of the greater Hannover area.

Usage

data(wagnerGrowth, package="robustbase")

Format

A data frame with 21 \times 3 = 63 observations (one per Region x Period) on the following 7 variables.

Region

a factor with 21 levels, denoting the corresponding region in Hannover (conceptually a “block factor”).

PA

numeric: percent of people involved in production activities.

GPA

growth of PA.

HS

a numeric vector

GHS

a numeric vector

y

a numeric vector

Period

a factor with levels 1:3, denoting the time period, 1 = 1979-1982, 2 = 1983-1988, 3 = 1989-1992.

Source

Hubert, M. and Rousseeuw, P. J. (1997). Robust regression with both continuous and binary regressors, Journal of Statistical Planning and Inference 57, 153–163.

References

Wagner J. (1994). Regionale Beschäftigungsdynamik und höherwertige Produktionsdienste: Ergebnisse für den Grossraum Hannover (1979-1992). Raumforschung und Raumordnung 52, 146–150.

Examples

data(wagnerGrowth)
## maybe
str(wagnerGrowth)


require(lattice)
(xyplot(y ~ Period | Region, data = wagnerGrowth,
         main = "wagnerGrowth: 21 regions @ Hannover"))

(dotplot(y ~ reorder(Region,y,median), data = wagnerGrowth,
         main = "wagnerGrowth",
         xlab = "Region [ordered by  median(y | Region) ]"))

robustbase documentation built on Nov. 1, 2024, 3 p.m.