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Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach

Author

Listed:
  • Bilandžić Ana

    ()

  • Marina Jeger

    ()

  • Šarlija Nataša

    () (Faculty of Economics in Osijek, J.J. Strossmayer University of Osijek, Croatia)

Abstract

Background: Alongside the theoretical progress made in understanding the factors that influence firm growth, many methodological challenges are yet to be overcome. Authors point to the notion of interpretability of growth prediction models as an important prerequisite for further advancement of the field as well as enhancement of models’ practical values.

Suggested Citation

  • Bilandžić Ana & Marina Jeger & Šarlija Nataša, 2016. "Dealing with Interpretability Issues in Predicting Firm Growth: Factor Analysis Approach," Business Systems Research, Sciendo, vol. 7(2), pages 23-34, September.
  • Handle: RePEc:bit:bsrysr:v:7:y:2016:i:2:p:23-34
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    More about this item

    Keywords

    factor analysis; logistic regression; interpretability; growth prediction model;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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