Difference between revisions of "Political 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_vdem
 
|techname=polnat_politics_corruption_vdem
 
|category=Political factors
 
|category=Political factors
|label=Political corruption index
+
|label=Aggregated mid-level index of corruption (V-Dem)
|relatedindicators=<ul>
+
|relatedindicators=
 +
<ul>
 
   <li>[[Executive corruption index]]</li>
 
   <li>[[Executive corruption index]]</li>
 
   <li>[[Public sector corruption index]]</li>
 
   <li>[[Public sector corruption index]]</li>
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|description=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.
 
|description=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. 2021b, 296).
+
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. 2021, 296-297).
 
|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 is "the average of (a) public sector corruption index
 
|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 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].
+
(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. 2021, 297) [note that variable names in italics refer to V-Dem's nomenclature in their dataset, not in WeSIS].
 
|citation=McMann, Kelly, Daniel Pemstein, Brigitte Seim, Jan Teorell, and Staffan I. Lindberg. 2016. "Strategies of Validation: Assessing the Varieties of Democracy Corruption Data". [https://www.v-dem.net/media/filer_public/aa/1c/aa1c7a54-db15-4d80-ae9f-075cf478957d/v-dem_working_paper_2016_23.pdf V-Dem Working Paper No. 23]. University of Gothenburg: Varieties of Democracy Institute.
 
|citation=McMann, Kelly, Daniel Pemstein, Brigitte Seim, Jan Teorell, and Staffan I. Lindberg. 2016. "Strategies of Validation: Assessing the Varieties of Democracy Corruption Data". [https://www.v-dem.net/media/filer_public/aa/1c/aa1c7a54-db15-4d80-ae9f-075cf478957d/v-dem_working_paper_2016_23.pdf V-Dem Working Paper No. 23]. 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. 2021b.
+
<ul>
"[https://www.v-dem.net/en/data/reference-material-v11/ V-Dem Codebook v11.1]" Varieties of Democracy (V-Dem) Project. </li>
+
  <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.
<li>
+
"[https://www.v-dem.net/en/data/reference-material-v11/ V-Dem Codebook v11.1]" Varieties of Democracy (V-Dem) Project.</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>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>
</li>
 
 
</ul>
 
</ul>
 
|projectmanagers=Nils Düpont (A01)
 
|projectmanagers=Nils Düpont (A01)
|datarelease=<ul>
+
|datarelease=
<li>Indicator updated with new data based on V-Dem release v11.1 on March 31, 2021</li>
+
<ul>
 +
  <li>Indicator updated with new data based on V-Dem release v11.1 on March 31, 2021</li>
 
</ul>
 
</ul>
|revisions=<ul>
+
|revisions=
<li>Not yet applicable</li>
+
<ul>
 +
  <li>Not yet applicable</li>
 
</ul>
 
</ul>
|sources=<ul>
+
|sources=
   <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. 2021a. "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>
 +
   <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>
 
}}
 
}}

Revision as of 19:15, 13 April 2021

Quick info
Data type Numeric
Scale Metric
Value labels Not applicable
Technical name polnat_politics_corruption_vdem
Category Political factors
Label Aggregated mid-level index of corruption (V-Dem)
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. 2021, 296-297).

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 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. 2021, 297) [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, 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:
  • Indicator updated with new data based on V-Dem release v11.1 on March 31, 2021
Revisions:
  • Not yet applicable

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.