Difference between revisions of "Regime corruption index"
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{{IndicatorForm | {{IndicatorForm | ||
|datatype=Numeric | |datatype=Numeric | ||
+ | |scale=Metric | ||
+ | |scale=Metric | ||
|scale=Metric | |scale=Metric | ||
|valuelabels=Not applicable | |valuelabels=Not applicable | ||
|techname=polnat_politics_corruption_regime_vdem | |techname=polnat_politics_corruption_regime_vdem | ||
|category=Political factors | |category=Political factors | ||
− | |label= | + | |label=Aggregated mid-level index of corruption of political actors (V-Dem) |
|relatedindicators=<ul> | |relatedindicators=<ul> | ||
<li>[[Political corruption index]]</li> | <li>[[Political corruption index]]</li> | ||
Line 13: | Line 15: | ||
<li>[[Corrupt activities of members of legislature]]</li> | <li>[[Corrupt activities of members of legislature]]</li> | ||
<li>[[Election vote buying]]</li> | <li>[[Election vote buying]]</li> | ||
− | + | </ul> | |
|description=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. | |description=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 | 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. | + | 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. 2021, 292). |
− | + | |codingrules=The index is composed of several components and lower-level indices applying V-Dem's measurement model (Pemstein et al. 2021) 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. 2021, 292) [note that variable names in italics refer to V-Dem's nomenclature in their dataset, not in WeSIS]. | |
− | |codingrules=The index is composed of several components and lower-level indices applying V-Dem's measurement model (Pemstein et al. | ||
− | = 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. | ||
− | |||
|citation=Sigman, Rachel and Staffan I. Lindberg. 2017. "Neopatrimonialism and Democracy: An Empirical Investigation of Africa's Political Regimes". [https://www.v-dem.net/media/filer_public/14/8f/148fbc10-247c-47a1-a4c5-e506aae2dee4/v-dem_working_paper_2017_56.pdf V-Dem Working Paper No. 56]. University of Gothenburg: Varieties of Democracy Institute. | |citation=Sigman, Rachel and Staffan I. Lindberg. 2017. "Neopatrimonialism and Democracy: An Empirical Investigation of Africa's Political Regimes". [https://www.v-dem.net/media/filer_public/14/8f/148fbc10-247c-47a1-a4c5-e506aae2dee4/v-dem_working_paper_2017_56.pdf V-Dem Working Paper No. 56]. University of Gothenburg: Varieties of Democracy Institute. | ||
− | + | |relatedpublications=<ul> | |
− | |relatedpublications= | + | <li>Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, Agnes Cornell, M. Steven Fish, Lisa Gastaldi, Haakon Gjerløw, Adam Glynn, Allen Hicken, Anna Lührmann, Seraphine F. Maerz, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Pamela Paxton, Daniel Pemstein, Johannes von Römer, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Aksel Sundtröm, Eitan Tzelgov, Luca Uberti, Yi-ting Wang, Tore Wig, and Daniel Ziblatt. 2021. "[https://www.v-dem.net/en/data/reference-material-v11/ V-Dem Codebook v11.1]" Varieties of Democracy (V-Dem) Project. </li> |
− | <ul> | + | <li>Pemstein, Daniel, Kyle L. Marquardt, Eitan Tzelgov, Yi-ting Wang, Juraj Medzihorsky, Joshua Krusell, Farhad Miri, and Johannes von Römer. 2021. “The V-Dem Measurement Model: Latent Variable Analysis for Cross-National and Cross-Temporal Expert-Coded Data”. [https://www.v-dem.net/media/filer_public/d4/d2/d4d27532-96a7-4f8c-8028-4c356fb1b2ca/wp_21_6th_edition.pdf V-Dem Working Paper No. 21. 6th edition]. University of Gothenburg: Varieties of Democracy Institute.</li> |
− | |||
− | 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 | ||
− | |||
− | Wang, Tore Wig, and Daniel Ziblatt. | ||
− | Project. | ||
− | |||
− | |||
− | Pemstein, Daniel, Kyle L. Marquardt, Eitan Tzelgov, Yi-ting Wang, Juraj Medzihorsky, Joshua Krusell, Farhad Miri, and Johannes von Römer. | ||
− | |||
</ul> | </ul> | ||
|projectmanagers=Nils Düpont (A01) | |projectmanagers=Nils Düpont (A01) | ||
− | |datarelease=<ul> | + | |datarelease=<ul><li>Version 0.001: Initial release</li></ul> |
− | + | |revisions=No revisions yet | |
− | </ul> | ||
− | |revisions= | ||
− | |||
− | |||
|sources=<ul> | |sources=<ul> | ||
− | + | <li>Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, Nazifa Alizada, David Altman, Michael Bernhard, Agnes Cornell, M. Steven Fish, Lisa Gastaldi, Haakon Gjerløw, Adam Glynn, Allen Hicken, Garry Hindle, Nina Ilchenko, Joshua Krusell, Anna Lührmann, Seraphine F. Maerz, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Juraj Medzihorsky, Pamela Paxton, Daniel Pemstein, Josefine Pernes, Johannes von Römer, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Aksel Sundström, Eitan Tzelgov, Yi-ting Wang, Tore Wig, Steven Wilson and Daniel Ziblatt. 2021. "V-Dem [Country–Year/Country–Date] Dataset v11.1" Varieties of Democracy (V-Dem) Project. [https://doi.org/10.23696/vdemds21 https://doi.org/10.23696/vdemds21]</li> | |
</ul> | </ul> | ||
}} | }} |
Latest revision as of 12:06, 25 October 2021
Quick info | |
---|---|
Data type | Numeric |
Scale | Metric |
Value labels | Not applicable |
Technical name | polnat_politics_corruption_regime_vdem |
Category | Political factors |
Label | Aggregated mid-level index of corruption of political actors (V-Dem) |
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. 2021, 292).
Coding rules
The index is composed of several components and lower-level indices applying V-Dem's measurement model (Pemstein et al. 2021) 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. 2021, 292) [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, Agnes Cornell, M. Steven Fish, Lisa Gastaldi, Haakon Gjerløw, Adam Glynn, Allen Hicken, Anna Lührmann, Seraphine F. Maerz, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Pamela Paxton, Daniel Pemstein, Johannes von Römer, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Aksel Sundtröm, Eitan Tzelgov, Luca Uberti, Yi-ting Wang, Tore Wig, and Daniel Ziblatt. 2021. "V-Dem Codebook v11.1" 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. 2021. “The V-Dem Measurement Model: Latent Variable Analysis for Cross-National and Cross-Temporal Expert-Coded Data”. V-Dem Working Paper No. 21. 6th edition. University of Gothenburg: Varieties of Democracy Institute.
Misc
Project manager(s): Nils Düpont (A01)
Data release:- Version 0.001: Initial release
Revisions: No revisions yet
Sources
- Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, Nazifa Alizada, David Altman, Michael Bernhard, Agnes Cornell, M. Steven Fish, Lisa Gastaldi, Haakon Gjerløw, Adam Glynn, Allen Hicken, Garry Hindle, Nina Ilchenko, Joshua Krusell, Anna Lührmann, Seraphine F. Maerz, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Juraj Medzihorsky, Pamela Paxton, Daniel Pemstein, Josefine Pernes, Johannes von Römer, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Aksel Sundström, Eitan Tzelgov, Yi-ting Wang, Tore Wig, Steven Wilson and Daniel Ziblatt. 2021. "V-Dem [Country–Year/Country–Date] Dataset v11.1" Varieties of Democracy (V-Dem) Project. https://doi.org/10.23696/vdemds21