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Beta-regression application to model relationships between the unemployment rate in voivodships and other macroeconomic indicators for the years 2004–2018

Author

Listed:
  • Jerzy P. Rydlewski

    (Akademia Górniczo-Hutnicza w Krakowie, Wydział Matematyki Stosowanej)

  • Daniel Kosiorowski

    (Uniwersytet Ekonomiczny w Krakowie, Wydział Zarządzania)

Abstract

Beta-regression method has been applied to model relationship between the unemployment rate in voivodships and other macroeconomic indicators of digital development, i.e., e.g. intramural expenditures on R&D for the years 2004–2018. Taking into account the beta regression model, in which the mean of beta distributed random variable is modelled, allows for a better insight into the nature of the observed phenomenon.

Suggested Citation

  • Jerzy P. Rydlewski & Daniel Kosiorowski, 2019. "Beta-regression application to model relationships between the unemployment rate in voivodships and other macroeconomic indicators for the years 2004–2018," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 55, pages 55-68.
    • Handle: RePEc:sgh:annals:i:55:y:2019:p:55-68
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    References listed on IDEAS

    as
    1. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    2. Cribari-Neto, Francisco & Zeileis, Achim, 2010. "Beta Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i02).
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