Econometric and Neural Network Analysis of the Labor Productivity and Average Gross Earnings Indices in the Romanian Industry
type: Dataset
description: Some of the forecasting algorithmic techniques presented in this paper were applied by the 3rd author in algorithmic contests in which he participated (some examples of tasks and their solutions can be found in the related materials zip archive).
landing page: ISSN: 1790-5109)
keyword: arima
keyword: conference-papers
keyword: econometric-model
keyword: forecast
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-necomputer-science-csneural-and-evolutionary-computing-csne
keyword: jel-c---mathematical-and-quantitative-methods
keyword: labor-productivity
keyword: neural-network
keyword: shsecohumanities-and-social-scienceseconomics-and-finance
keyword: shsstathumanities-and-social-sciencesmethods-and-statistics
keyword: var
issued: 2026-05-29T10:58:55.968612
modified: 2026-05-29T10:58:55.968621
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Econometric and Neural Network Analysis of the Labor Productivity and Average Gross Earnings Indices in the Romanian Industry
type: Distribution
format: HTML
access URL: https://hal.science/hal-00768783
issued: 2026-05-29T10:58:55.999510
modified: 2026-05-29T10:58:55.909287