SCHLF: Schneider et. al. (2010)
In SetMethods: Functions for Set-Theoretic Multi-Method Research and Advanced QCA
SCHLF R Documentation
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.
EMPa numeric vector. Condition, employment protection.
BARGAINa numeric vector. Condition, collective bargaining.
UNIa numeric vector. Condition, university training.
OCCUPa numeric vector. Condition, occupational training.
STOCKa numeric vector. Condition, stock market size.
MAa numeric vector. Condition, mergers and acquisitions.
EXPORTa numeric vector. Outcome, export performance in high-tech industries.
COUNTRYa string vector. Name of the country in which the observation was made.
YEARa 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)
SetMethods documentation built on March 31, 2023, 5:41 p.m.
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| SCHLF | R Documentation |
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.
EMPa numeric vector. Condition, employment protection.
BARGAINa numeric vector. Condition, collective bargaining.
UNIa numeric vector. Condition, university training.
OCCUPa numeric vector. Condition, occupational training.
STOCKa numeric vector. Condition, stock market size.
MAa numeric vector. Condition, mergers and acquisitions.
EXPORTa numeric vector. Outcome, export performance in high-tech industries.
COUNTRYa string vector. Name of the country in which the observation was made.
YEARa 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)R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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