Political corruption index
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels | Not applicable |
| Technical name | polnat_politics_corruption_vdem |
| Category | [[Political factors]] |
| Label | Political corruption index |
| Related indicators | |
The "Political corruption index" is a V-Dem mid-level index capturing several types of corruption across different areas and levels of the political realm. It ranges from low (0) to high (1) with lower values indicating less corruption.
Conceptually, the corruption index "includes measures of six distinct types of corruption that cover both different areas and levels of the polity realm, distinguishing between executive, legislative and judicial corruption. Within the executive realm, the measures also distinguish between corruption mostly pertaining to bribery and corruption due to embezzlement. Finally, they differentiate between corruption in the highest echelons of the executive at the level of the rulers/cabinet on the one hand, and in the public sector at large on the other. The measures thus tap into several distinguished types of corruption: both 'petty' and 'grand'; both bribery and theft; both corruption aimed and influencing law making and that affecting implementation" (Coppedge et al. 2020, 279).
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 "the average of (a) public sector corruption index (v2x_pubcorr); (b) executive corruption index (v2x_execorr); (c) the indicator for legislative corruption (v2lgcrrpt); and (d) the indicator for judicial corruption (v2jucorrdc)" (Coppedge et al. 2020, 279) [emphasis in original; note that variable names in italics refer to V-Dem's nomenclature in their dataset, not in WeSIS].
Bibliographic info
Citation: McMann, Kelly, Daniel Pemstein, Brigitte Seim, Jan Teorell, and Staffan I. Lindberg. 2016. "Strategies of Validation: Assessing the Varieties of Democracy Corruption Data". V-Dem Working Paper No. 23. University of Gothenburg: Varieties of Democracy Institute.
Related publications:- 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. 2020. "V-Dem Codebook v10" 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
