africa {GLMpack}

Data on inflation increase in Africa

Description

Data for the Africa example used in chapter 7

Usage

data(africa)

Format

A data frame with 47 rows and 7 variables:

INFLATN

Inflation rates

DICTATOR

Number of years of personal dictatorship that occurred from independence to 1989

SIZE

Area at the end of the period, in thousand square kilometers

GROWTH

Average annual gross national product (GNP) rate of growth in percent from 1965 to 1989

CHURMED

Number of church-operated hospitals and medical clinics as of 1973

CONSTIT

the constitutional structure when not a dictatorship in ascending centrality (0 = monarchy, 1 = presidential, 2 = presidential/parliamentary mix, 3 = parliamentary)

REPRESS

Violence and threats of violence by the government against opposition political activity from 1990 to 1994

...

Examples

data(africa)
attach(africa)
library(lmtest)
library(plm)

## Table 7.4
y <- (INFLATN/100)[-16]
y[y > 1] <- 1
X <- cbind(DICTATOR,SIZE,GROWTH,CHURMED,CONSTIT,REPRESS)[-16,]
X[,4] <- log(X[,4]+.01)
africa.glm <- glm(y ~ X[,1:6], family=quasibinomial('logit'))
out.mat <- coeftest(africa.glm, vcov.=vcovHC(africa.glm, type="HC0"))
( out.mat <- round(cbind(out.mat[,1:2], out.mat[,1] - 1.96*out.mat[,2],
                         out.mat[,2] + 1.96*out.mat[,2]),4) )