Regime corruption index
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels | Not applicable |
| Technical name | polnat_politics_corruption_regime_vdem |
| Category | Political factors |
| Label | Regime corruption |
| Related indicators | |
The "Regime corruption index" is a V-Dem mid-level index focusing on several types of corruption among those who occupy political offices. It ranges from low (0) to high (1) with lower values indicating less corruption.
Conceptually, the index "includes indicators measuring the extent of executive embezzlement, executive bribery, legislative corruption and judicial corruption" while excluding "measures of public sector corruption since, in many cases, public sector workers may not be directly linked to those elected or appointed to office" (Sigman and Lindberg 2017, 7). Other than the Political corruption index, it "focuses on a more specific set of actors – those who occupy political offices - and a more specific set of corrupt acts that relate more closely to the conceptualization of corruption in literature on neopatrimonial rule" (Coppedge et al. 2020, 274).
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 takes "the reversed point estimates (so that higher scores = more regime corruption) from a Bayesian factor analysis model of the indicators for executive executive embezzlement (v2exembez), executive bribes (v2exbribe), legislative corruption (v2xlgcrrpt) and judicial corruption (v2jucorrdc)" (Coppedge et al. 2020, 275) [emphasis in original; note that variable names in italics refer to V-Dem's nomenclature in their dataset, not in WeSIS].
Bibliographic info
Citation: Sigman, Rachel and Staffan I. Lindberg. 2017. "Neopatrimonialism and Democracy: An Empirical Investigation of Africa's Political Regimes". V-Dem Working Paper No. 56. 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
