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

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.

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Year of publication:	2009-03-23
Authors:	Andreica, Madalina Ecaterina ; Cataniciu, Nicolae ; Andreica, Mugurel Ionut
Institutions:	HAL
Subject:	labor productivity \| econometric model \| ARIMA \| VAR \| neural network \| forecast

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Extent:	application/pdf
Series:	Post-Print.
Type of publication:	Book / Working Paper
Notes:	View the original document on HAL open archive server: http://hal.archives-ouvertes.fr/hal-00768783 Published - Presented, Proceedings of the 10th WSEAS International Conference on Mathematics and Computers in Business and Economics (MCBE) (ISBN: 978-960-474-063-5 / ISSN: 1790-5109), 2009, Prague, Czech Republic
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010601713