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The level of democracy during interregnum periods: recoding the polity2 score

By Thomas Plumper and Eric Neumayer

Abstract

The polity2 variable from the Polity IV project is the most popular measure of a country's political regime. This article contends that the coding rules employed to create a polity2 score during years of so-called interregnum and affected transitions produce a measure of democracy that lacks face validity. Using both single and multiple imputation methods, we construct and evaluate several variables that offer alternative measures to polity2 during such periods. We recommend that scholars using polity2 test whether their results are robust to using our alternatives and using multiple imputation techniques instead. Where robustness cannot be established, scholars need to theoretically justify the choice of either polity2 or one of the alternatives

Topics: JC Political theory
Publisher: Oxford University Press on behalf of the Society for Political Methodology
Year: 2010
DOI identifier: 10.1093/pan
OAI identifier: oai:eprints.lse.ac.uk:27972
Provided by: LSE Research Online

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Citations

  1. (2001). Analyzing Incomplete Political Science Data. An Alternative Algorithm for Multiple Imputation.
  2. (2002). Armed Conflict 1946-2001. A New Dataset. doi
  3. (2005). Causes of Civil War in Asia and Sub-Saharan Africa: A Comparison. doi
  4. (1994). Comparative Democracy. The Economic Development Thesis. doi
  5. (2002). Conceptualizing and Measuring Democracy. doi
  6. (2003). Correlation versus Interchangeability. The Limited Robustness of Empirical Findings of Democracy using Highly Correlated Data. doi
  7. (1999). Determinants of Democracy. doi
  8. (2006). Diffusion and the International Context of Democratization. doi
  9. (2002). Expanded Trade and GDP Data. doi
  10. (1998). for Systemic Peace. http://www.systemicpeace.org/inscr/p4manualv2006.pdf McLaughlin,
  11. (1986). How no to lie with Statistics. Avoiding Common Mistakes in Quantitative Political Science. doi
  12. (2007). Indra and Eric Neumayer, doi
  13. (1976). Inference and Missing Data. doi
  14. (2007). Measures and Mismeasures of Democracy. Working Paper.
  15. (1997). Modernization: Theories and Facts. doi
  16. (1996). Multiple Imputation after 18+ Years. doi
  17. (2000). Multiple Imputation for Missing Data. A Cautionary Tale. doi
  18. (1975). Patterns of Authority: A Structural Basis for Political Inquiry. doi
  19. (1979). Reliability and Validity Assessment. doi
  20. (1998). Roots of Violence. A History of war in Chad. doi
  21. (1999). Sierra Leone. The Political Economy of Civil War, doi
  22. (1959). Some Social Requisites of Democracy. Economic Development and Political Legitimacy. doi
  23. (2004). State Functioning and State Failure in the South Pacific. doi
  24. (2000). The Correlates of War Data on War. An Update to doi
  25. (1997). The Prague Spring and its Aftermath: Czechoslovak Politics, 1968-1970, doi
  26. (1995). Tracking Democracy's Third Wave with the Polity III Data, doi
  27. (2010). What to Do about Missing Values in Time Series Cross-Section Data. doi

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