Economics at your fingertips  

Model – spatial approach to prediction of minimum wage

Monika Hadaś-Dyduch

No 29/2016, Working Papers from Institute of Economic Research

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.

Keywords: wavelets; prediction; salary; minimum wage. (search for similar items in EconPapers)
JEL-codes: C5 F3 (search for similar items in EconPapers)
Date: 2016-06, Revised 2016-06
New Economics Papers: this item is included in nep-net
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link) First version, 2016 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this paper

More papers in Working Papers from Institute of Economic Research Contact information at EDIRC.
Bibliographic data for series maintained by Adam P. Balcerzak ().

Page updated 2020-03-29
Handle: RePEc:pes:wpaper:2016:no29