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Econometric and Neural Network Analysis of the Labor Productivity and Average Gross Earnings Indices in the Romanian Industry

Author

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  • Madalina Ecaterina Andreica

    (CSIE ASE - The Faculty of Economic Cybernetics, Statistics and Informatics, Academia de Studii Economice din Bucureşti - A.S.E. - The Bucharest Academy of Economic Studies / Academia de Studii Economice din Bucureşti, National Scientific Research Institute for Labor and Social Protection - National Scientific Research Institute for Labor and Social Protection)

  • Nicolae Cataniciu

    (National Scientific Research Institute for Labor and Social Protection - National Scientific Research Institute for Labor and Social Protection)

  • Mugurel Ionut Andreica

    (Parallel and Distributed Systems Laboratory [Bucarest] - University Politehnica of Bucarest)

Abstract

This paper focuses on the identification and short term forecast of the correlation between the Labor Productivity Index (LPI) and the Average Gross Earnings Index (AGEI) in the Romanian Industry. The tools and models that were used consist of several lag econometric models, ARIMA processes, as well as feed forward neural networks. The results proved that the models were suitable and showed a strong correlation between AGEI and LPI.

Suggested Citation

  • Madalina Ecaterina Andreica & Nicolae Cataniciu & Mugurel Ionut Andreica, 2009. "Econometric and Neural Network Analysis of the Labor Productivity and Average Gross Earnings Indices in the Romanian Industry," Post-Print hal-00768783, HAL.
  • Handle: RePEc:hal:journl:hal-00768783
    Note: View the original document on HAL open archive server: https://hal.science/hal-00768783
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    Cited by:

    1. Maria Denisa VASILESCU & Larisa STANILA & Amalia CRISTESCU, 2014. "The evolution of earnings inequality in Romania," Romanian Journal of Economics, Institute of National Economy, vol. 39(2(48)), pages 88-99, December.

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