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Model – spatial approach to prediction of minimum wage

Author

Listed:
  • Monika Hadas-Dyduch

    (University of Economics in Katowice)

Abstract

The aim of the article is to present the author's model for prediction of the minimum wage. The model is based on wavelet analysis and methods of adaptation. Use of multiresolution analysis for prediction of the minimum wage in combination with the method to compensate the exponential gave good results in terms of minimizing the error. Research the minimum wage is very important. It should be noted that, in 2014, the level of gross minimum wages across the EU Member States varied from 33 % to just over 50 % of average gross monthly earnings for those persons working in industry, construction or services.

Suggested Citation

  • Monika Hadas-Dyduch, 2016. "Model – spatial approach to prediction of minimum wage," Working Papers 29/2016, Institute of Economic Research, revised Jun 2016.
    • Handle: RePEc:pes:wpaper:2016:no29
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    More about this item

    Keywords

    wavelets; prediction; salary; minimum wage.;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • F3 - International Economics - - International Finance

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