IDEAS home Printed from https://ideas.repec.org/p/zbw/zewdip/21012.html
   My bibliography  Save this paper

Using machine learning for measuring democracy: An update

Author

Listed:
  • Gründler, Klaus
  • Krieger, Tommy

Abstract

We provide a comprehensive overview of the literature on the measurement of democracy and present an extensive update of the Machine Learning indicator of Gründler and Krieger (2016, European Journal of Political Economy). Four improvements are particularly notable: First, we produce a continuous and a dichotomous version of the Machine Learning democracy indicator. Second, we calculate intervals that reflect the degree of measurement uncertainty. Third, we refine the conceptualization of the Machine Learning Index. Finally, we largely expand the data coverage by providing democracy indicators for 186 countries in the period from 1919 to 2019.

Suggested Citation

  • Gründler, Klaus & Krieger, Tommy, 2021. "Using machine learning for measuring democracy: An update," ZEW Discussion Papers 21-012, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:21012
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/231298/1/174870723X.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Martin Gassebner & Michael J. Lamla & James Raymond Vreeland, 2013. "Extreme Bounds of Democracy," Journal of Conflict Resolution, Peace Science Society (International), vol. 57(2), pages 171-197, April.
    2. Daron Acemoglu & Suresh Naidu & Pascual Restrepo & James A. Robinson, 2019. "Democracy Does Cause Growth," Journal of Political Economy, University of Chicago Press, vol. 127(1), pages 47-100.
    3. Dorsch, Michael T. & Maarek, Paul, 2020. "Economic downturns, inequality, and democratic improvements," European Journal of Political Economy, Elsevier, vol. 62(C).
    4. Dorsch, Michael T. & Maarek, Paul, 2019. "Democratization and the Conditional Dynamics of Income Distribution," American Political Science Review, Cambridge University Press, vol. 113(2), pages 385-404, May.
    5. José Cheibub & Jennifer Gandhi & James Vreeland, 2010. "Democracy and dictatorship revisited," Public Choice, Springer, vol. 143(1), pages 67-101, April.
    6. Christian Bjørnskov & Martin Rode, 2020. "Regime types and regime change: A new dataset on democracy, coups, and political institutions," The Review of International Organizations, Springer, vol. 15(2), pages 531-551, April.
    7. Vanessa A Boese, 2019. "How (not) to measure democracy," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 22(2), pages 95-127, June.
    8. TokeS. Aidt & Martin Daunton & Jayasri Dutta, 2010. "The Retrenchment Hypothesis and the Extension of the Franchise in England and Wales," Economic Journal, Royal Economic Society, vol. 120(547), pages 990-1020, September.
    9. de Haan, Jakob & Sturm, Jan-Egbert, 2003. "Does more democracy lead to greater economic freedom? New evidence for developing countries," European Journal of Political Economy, Elsevier, vol. 19(3), pages 547-563, September.
    10. Gründler, Klaus & Krieger, Tommy, 2016. "Democracy and growth: Evidence from a machine learning indicator," European Journal of Political Economy, Elsevier, vol. 45(S), pages 85-107.
    11. Klaus Gründler & Tommy Krieger, 2019. "Should We Care (More) About Data Aggregation? Evidence from Democracy Indices," CESifo Working Paper Series 7480, CESifo.
    12. Toke S. Aidt & Gabriel Leon, 2016. "The Democratic Window of Opportunity," Journal of Conflict Resolution, Peace Science Society (International), vol. 60(4), pages 694-717, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fuest, Clemens & Gründler, Klaus & Potrafke, Niklas & Ruthardt, Fabian, 2024. "Read my lips? Taxes and elections," Journal of Public Economics, Elsevier, vol. 236(C).
    2. Gründler, Klaus & Hillman, Arye L., 2021. "Ambiguous protection," European Journal of Political Economy, Elsevier, vol. 68(C).
    3. Jennifer Elena Feichtmayer & Klaus Gründler, 2021. "Global Evidence on Misperceptions and Preferences for Redistribution," CESifo Working Paper Series 9381, CESifo.
    4. Batinti, Alberto & Costa-Font, Joan, 2022. "Does democracy make taller men? Cross-country European evidence," Economics & Human Biology, Elsevier, vol. 45(C).
    5. Klaus Gründler & Armin Hackenberger & Anina Harter & Niklas Potrafke, 2021. "Covid-19 Vaccination: The Role of Crisis Experience," CESifo Working Paper Series 9096, CESifo.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gründler, Klaus & Krieger, Tommy, 2021. "Using Machine Learning for measuring democracy: A practitioners guide and a new updated dataset for 186 countries from 1919 to 2019," European Journal of Political Economy, Elsevier, vol. 70(C).
    2. Gründler, Klaus & Krieger, Tommy, 2022. "Should we care (more) about data aggregation?," European Economic Review, Elsevier, vol. 142(C).
    3. Krieger, Tommy, 2022. "Democracy and the quality of economic institutions: Theory and evidence," ZEW Discussion Papers 22-032, ZEW - Leibniz Centre for European Economic Research.
    4. Tommy Krieger, 2022. "Democracy and the quality of economic institutions: theory and evidence," Public Choice, Springer, vol. 192(3), pages 357-376, September.
    5. Antonio Ciccone & Adilzhan Ismailov, 2022. "Rainfall, Agricultural Output and Persistent Democratization," Economica, London School of Economics and Political Science, vol. 89(354), pages 229-257, April.
    6. Sima, Di & Huang, Fali, 2023. "Is democracy good for growth? — Development at political transition time matters," European Journal of Political Economy, Elsevier, vol. 78(C).
    7. Dorsch, Michael T. & Maarek, Paul, 2020. "Economic downturns, inequality, and democratic improvements," European Journal of Political Economy, Elsevier, vol. 62(C).
    8. Aidt, Toke S. & Albornoz, Facundo & Gassebner, Martin, 2018. "The golden hello and political transitions," Journal of Comparative Economics, Elsevier, vol. 46(1), pages 157-173.
    9. Kammerlander, Andreas & Schulze, Günther G., 2020. "Are Democracies Cleaner?," European Journal of Political Economy, Elsevier, vol. 64(C).
    10. Dörffel, Christoph & Freytag, Andreas, 2023. "The poverty effect of democratization," World Development, Elsevier, vol. 165(C).
    11. Dorsch, Michael T. & Maarek, Paul, 2019. "Democratization and the Conditional Dynamics of Income Distribution," American Political Science Review, Cambridge University Press, vol. 113(2), pages 385-404, May.
    12. Johannes Blum, 2021. "Democracy’s third wave and national defense spending," Public Choice, Springer, vol. 189(1), pages 183-212, October.
    13. Bjørnskov, Christian, 2022. "Coups and Economic Crises," Working Paper Series 1449, Research Institute of Industrial Economics.
    14. Osei-Tutu, Francis & Weill, Laurent, 2023. "Democracy favors access to credit of firms," European Journal of Political Economy, Elsevier, vol. 77(C).
    15. Janus, Thorsten, 2023. "Short and long run democracy diffusion," European Journal of Political Economy, Elsevier, vol. 78(C).
    16. Krieger, Tommy, 2019. "Democracy and institutional quality: Theory and Evidence," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203507, Verein für Socialpolitik / German Economic Association.
    17. Zuazu, Izaskun, 2019. "The growth effect of democracy and technology: An industry disaggregated approach," European Journal of Political Economy, Elsevier, vol. 56(C), pages 115-131.
    18. Krieger, Tommy, 2022. "Measuring democracy," ZEW Discussion Papers 22-063, ZEW - Leibniz Centre for European Economic Research.
    19. Niclas Berggren & Jerg Gutmann, 2020. "Securing personal freedom through institutions: the role of electoral democracy and judicial independence," European Journal of Law and Economics, Springer, vol. 49(2), pages 165-186, April.
    20. Nuno Garoupa & Rok Spruk, 2024. "Measuring Political Institutions in the Long Run: A Latent Variable Analysis of Political Regimes, 1810–2018," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(3), pages 867-914, July.

    More about this item

    Keywords

    Data aggregation; Democracy indicators; Machine Learning; Measurement Issues; Regime Classifications; Support Vector Machines;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:zewdip:21012. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.