unionDensity {pscl} | R Documentation

## cross national rates of trade union density

### Description

Cross-national data on relative size of the trade unions and predictors, in 20 countries. Two of the predictors are highly collinear, and are the source of a debate between Stephens and Wallerstein (1991), later reviewed by Western and Jackman (1994).

### Usage

    data(unionDensity)

### Format

- `union`numeric, percentage of the total number of wage and salary earners plus the unemployed who are union members, measured between 1975 and 1980, with most of the data drawn from 1979

- `left`numeric, an index tapping the extent to which parties of the left have controlled governments since 1919, due to Wilensky (1981).

- `size`numeric, log of labor force size, defined as the number of wage and salary earners, plus the unemployed

- `concen`numeric, percentage of employment, shipments, or production accounted for by the four largest enterprises in a particular industry, averaged over industries (with weights proportional to the size of the industry) and the resulting measure is normalized such that the United States scores a 1.0, and is due to Pryor (1973). Some of the scores on this variable are imputed using procedures described in Stephens and Wallerstein (1991, 945).

### Source

Pryor, Frederic. 1973. Property and Industrial Organization in Communist and Capitalist Countries. Bloomington: Indiana University Press.

Stephens, John and Michael Wallerstein. 1991. Industrial Concentration, Country Size and Trade Union Membership. American Political Science Review 85:941-953.

Western, Bruce and Simon Jackman. 1994. Bayesian Inference for Comparative Research. American Political Science Review 88:412-423.

Wilensky, Harold L. 1981. Leftism, Catholicism, Democratic Corporatism: The Role of Political Parties in Recemt Welfare State Development. In The Development of Welfare States in Europe and America, ed. Peter Flora and Arnold J. Heidenheimer. New Brunswick: Transaction Books.

### References

Jackman, Simon. 2009. Bayesian Analysis for the Social Sciences. Wiley: Hoboken, New Jersey.

### Examples

    data(unionDensity)
    summary(unionDensity)
    pairs(unionDensity,
          labels=c("Union\nDensity",
            "Left\nGovernment",
            "log Size of\nLabor Force",
            "Economic\nConcentration"),
          lower.panel=function(x,y,digits=2){
            r <- cor(x,y)
            par(usr=c(0,1,0,1))
            text(.5,.5,
                 format(c(r,0.123456789),digits=digits)[1],
                 cex=1.5)
          }
          )
    ols <- lm(union ~ left + size + concen,
              data=unionDensity)
    summary(ols)

[Package pscl version 1.5.2 Index]