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

Author

Listed:
  • Maričić Milica
  • Bulajić Milica
  • Radojičić Zoran
  • Jeremić Veljko

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

Abstract

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
    DOI: 10.2478/bsrj-2019-019
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    References listed on IDEAS

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    1. Caleb J. Williams, 2023. "Picking Winners: Identifying Features of High-Performing Special Purpose Acquisition Companies (SPACs) with Machine Learning," JRFM, MDPI, vol. 16(4), pages 1-21, April.

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    More about this item

    Keywords

    CIDI methodology; Doing Business Index; international business; machine learning algorithms;
    All these keywords.

    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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