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Shedding Light on the Doing Business Index: a Machine Learning Approach


  • Maričić Milica


  • Bulajić Milica


  • Radojičić Zoran


  • Jeremić Veljko

    () (University of Belgrade, Faculty of Organizational Sciences, Department of Operational Research and Statistics, Belgrade, Serbia)


Background: The World Bank (WB) acknowledged the importance of business regulatory environment and therefore created a metric which ranks 190 countries based on their level of business regulation for domestic firms measured by the Doing Business Index (DBI).

Suggested Citation

  • Maričić Milica & Bulajić Milica & Radojičić Zoran & Jeremić Veljko, 2019. "Shedding Light on the Doing Business Index: a Machine Learning Approach," Business Systems Research, Sciendo, vol. 10(2), pages 73-84, September.
  • Handle: RePEc:bit:bsrysr:v:10:y:2019:i:2:p:73-84:n:6

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    More about this item


    CIDI methodology; Doing Business Index; international business; machine learning algorithms;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • M16 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - International Business Administration


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