d.jobsecurity

This dataset is from Emmenegger (2011), who analyzes the determinants of 
high job security regulations in Western democracies using fsQCA.

datasets

Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2018) <doi:10.1017/psrm.2018.45>. CNA is designed to recover INUS-causation from data, which is particularly relevant for analyzing processes featuring conjunctural causation (component causation) and equifinality (alternative causation). CNA is currently the only method for INUS-discovery that allows for multiple effects (outcomes/endogenous factors), meaning it can analyze common-cause and causal chain structures.

Mathias Ambuehl

Causal Modeling with Coincidence Analysis

Michael Baumgartner

Ruedi Epple

Veli-Pekka Parkkinen

Alrik Thiem

d.jobsecurity function

The data frame contains 19 rows (cases) and the following 7 columns featuring fuzzy-set factors:
<table class="table">
<tr><td>[ , 1]</td><td>S</td><td>statism</td><td>("1" high, "0" not high)</td><td>[ , 2]</td><td>C</td></tr>
<tr><td>non-market coordination</td><td>("1" high, "0" not high)</td><td>[ , 3]</td><td>L</td><td>labour movement strength</td><td>("1" high, "0" not high)</td></tr>
<tr><td>[ , 4]</td><td>R</td><td>Catholicism</td><td>("1" high, "0" not high)</td><td>[ , 5]</td><td>P</td></tr>
<tr><td>religious party strength</td><td>("1" high, "0" not high)</td><td>[ , 6]</td><td>V</td><td>institutional veto points</td><td>("1" many, "0" not many)</td></tr>
</table>

Format

Thiem, Alrik: collection, documentation

Contributors

Job security regulations in western democracies — d.jobsecurity

The data frame contains 19 rows (cases) and the following 7 columns featuring fuzzy-set factors:
<table class='table'>
<tr><td>[ , 1]</td><td>S</td><td>statism</td><td>("1" high, "0" not high)</td><td>[ , 2]</td><td>C</td></tr>
<tr><td>non-market coordination</td><td>("1" high, "0" not high)</td><td>[ , 3]</td><td>L</td><td>labour movement strength</td><td>("1" high, "0" not high)</td></tr>
<tr><td>[ , 4]</td><td>R</td><td>Catholicism</td><td>("1" high, "0" not high)</td><td>[ , 5]</td><td>P</td></tr>
<tr><td>religious party strength</td><td>("1" high, "0" not high)</td><td>[ , 6]</td><td>V</td><td>institutional veto points</td><td>("1" many, "0" not many)</td></tr>
</table>

d.jobsecurity: Job security regulations in western democracies

Description

Usage

Arguments

Format

Contributors

[ , 1]	S	statism	("1" high, "0" not high)	[ , 2]	C
non-market coordination	("1" high, "0" not high)	[ , 3]	L	labour movement strength	("1" high, "0" not high)
[ , 4]	R	Catholicism	("1" high, "0" not high)	[ , 5]	P
religious party strength	("1" high, "0" not high)	[ , 6]	V	institutional veto points	("1" many, "0" not many)