corruption: Data on censored corruption scale

In GLMpack: Data and Code to Accompany Generalized Linear Models, 2nd Edition

Description

Data for the corruption example used in chapter 7

Usage

data(corruption)

Format

A data frame with 83 rows and 7 variables:

ticpi85b

Country-level compilation of effects into a 0 to 10 scale of increasing government corruption with an adjustment that modifies this range slightly

MSO

Binary variable indicating whether the government owns a majority of key industries

LOG.PC.GDP

Log of the average per capita GDP from 1975 to 1983

DEMOCRACY

Polity IV democracy score from 1975 to 1983

GOVGDT

Average government spending as a percentage of GDP from 1980 to 1983

ECONFREE

Index of the ability of capitalists to invest and move money

FEDERAL

Binary variable indicating whether the government has a federal system during this period

...

Examples

data(corruption)
attach(corruption)
library(censReg)

## Table 7.5
corruption.tobit.out <- censReg( ticpi85b ~ MSO + LOG.PC.GDP + DEMOCRACY + GOVGDT +
    ECONFREE*FEDERAL,
    left = 2.6, right = 10.70, data=corruption, start = NULL, nGHQ = 8, logLikOnly = FALSE)
summary(corruption.tobit.out)
summary(corruption.tobit.out)$nObs
Coefs <- summary(corruption.tobit.out)$estimate[,1]
SEs <- summary(corruption.tobit.out)$estimate[,2]
CI.low <- Coefs - SEs*1.96
CI.hi <- Coefs + SEs*1.96
( round(out.table <- cbind( Coefs, SEs, CI.low, CI.hi),4) )

GLMpack documentation built on July 19, 2019, 5:05 p.m.