Rule of law index
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels | Not applicable |
| Technical name | polnat_polity_ruleoflaw_vdem |
| Category | Political factors |
| Label | Rule of law index |
| Related indicators | |
The "Rule of law index" is a V-Dem mid-level index capturing to what extent laws are "transparently, independently, predictably, impartially, and equally enforced, and to what extent [...] the actions of government officials comply with the law" (Coppedge et al. 2020b, 281). It ranges from low (0) to high (1).
Coding rules
The index is composed of several components and lower-level indices applying V-Dem's measurement model (Pemstein et al. 2020) which in turn are indices built from a number of indicators. The index itself "is formed by taking the point estimates from a Bayesian factor analysis model of the indicators for compliance with high court (v2juhccomp), compliance with judiciary (v2jucomp), high court independence (v2juhcind), lower court independence (v2juncind), executive respects constitution (v2exrescon), rigorous and impartial public administration (v2clrspct), transparent laws with predictable enforcement (v2cltrnslw), access to justice for men (v2clacjstm), access to justice for women (v2clacjstw), judicial accountability (v2juaccnt), judicial corruption decision (v2jucorrdc), public sector corrupt exchanges (v2excrptps), public sector theft (v2exthftps), executive bribery and corrupt exchanges (v2exbribe), executive embezzlement and theft (v2exembez)" (Coppedge et al. 2020, 282) [emphasis in original; note that variable names in italics refer to V-Dem's nomenclature in their dataset, not in WeSIS].
Bibliographic info
Citation:- Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, M. Steven Fish, Adam Glynn, Allen Hicken, Anna Luhrmann, Kyle L. Marquardt, Kelly McMann, Pamela Paxton, Daniel Pemstein, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Steven Wilson, Agnes Cornell, Nazifa Alizada, Lisa Gastaldi, Haakon Gjerløw, Garry Hindle, Nina Ilchenko, Laura Maxwell, Valeriya Mechkova, Juraj Medzihorsky, Johannes von Römer, Aksel Sundström, Eitan Tzelgov, Yi-ting Wang, Tore Wig, and Daniel Ziblatt. 2020a. "V-Dem [Country–Year/Country–Date] Dataset v10". Varieties of Democracy (V-Dem) Project. https://doi.org/10.23696/vdemds20
- Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, M. Steven Fish, Adam Glynn, Allen Hicken, Anna Lührmann, Kyle L. Marquardt, Kelly McMann, Pamela Paxton, Daniel Pemstein, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Agnes Cornell, Lisa Gastaldi, Haakon Gjerløw, Valeriya Mechkova, Johannes von Römer, Aksel Sundtröm, Eitan Tzelgov, Luca Uberti, Yi-ting Wang, Tore Wig, and Daniel Ziblatt. 2020b. "V-Dem Codebook v10" Varieties of Democracy". Varieties of Democracy (V-Dem) Project.
- Pemstein, Daniel, Kyle L. Marquardt, Eitan Tzelgov, Yi-ting Wang, Juraj Medzihorsky, Joshua Krusell, Farhad Miri, and Johannes von Römer. 2020. "The V-Dem Measurement Model: Latent Variable Analysis for Cross-National and Cross-Temporal Expert-Coded Data". V-Dem Working Paper No. 21. 5th edition. University of Gothenburg: Varieties of Democracy Institute.
Misc
Project manager(s): Nils Düpont (A01)
Data release:- Not yet applicable
- Not yet applicable
Sources
- Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, M. Steven Fish, Adam Glynn, Allen Hicken, Anna Luhrmann, Kyle L. Marquardt, Kelly McMann, Pamela Paxton, Daniel Pemstein, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Steven Wilson, Agnes Cornell, Nazifa Alizada, Lisa Gastaldi, Haakon Gjerløw, Garry Hindle, Nina Ilchenko, Laura Maxwell, Valeriya Mechkova, Juraj Medzihorsky, Johannes von Römer, Aksel Sundström, Eitan Tzelgov, Yi-ting Wang, Tore Wig, and Daniel Ziblatt. 2020. ”V-Dem Country–Year Dataset v10”. Varieties of Democracy (V-Dem) Project. https://doi.org/10.23696/vdemds20
