SCHLF {SetMethods}

Schneider et. al. (2010)

Description

The SCHLF data frame has 76 observations and 9 variables.

Usage

data(SCHLF)

Format

A data frame with 76 observations on the following 9 variables.

EMP

a numeric vector. Condition, employment protection.

BARGAIN

a numeric vector. Condition, collective bargaining.

UNI

a numeric vector. Condition, university training.

OCCUP

a numeric vector. Condition, occupational training.

STOCK

a numeric vector. Condition, stock market size.

MA

a numeric vector. Condition, mergers and acquisitions.

EXPORT

a numeric vector. Outcome, export performance in high-tech industries.

COUNTRY

a string vector. Name of the country in which the observation was made.

YEAR

a numeric vector. Year in which the observation was made.

Details

Data used by Schneider et. al. (2010) to explain capitalist variety and export performance in high-tech industries. Data is saved in the long format and the first 7 variables are fuzzy-sets.

References

Schneider, M. R., Schulze-Bentrop, C., Paunescu, M. (2010) "Mapping the institutional capital of high-tech firms: A fuzzy-set analysis of capitalist variety and export performance", Journal of International Business Studies 41, pp. 246:266;

Schneider, C. Q., Wagemann, C. (2012) Set-Theoretic Methods for the Social Sciences, Cambridge University Press: Cambridge.

Examples

data(SCHLF)