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  • Suitable models of unemployment rate development in Czech Republic under condition of economic depression were created and presented in this paper. Models?s were based on exponential smoothing and training of artificial neural networks. The most suitable models were exponential eventually damped model with additive seasonality and multilayer perceptron. March?s and April?s unemployment rate forecast was 7.58?7.89 % and 7.63?8.33 % for exponential smoothing respective 7.3?7.45 % and 6.62?8.22 % for multilayer perceptron. Recalculation of exponential smoothing model and retraining of ANNs is necessary at the time when it is possible obtain fresh values of the unemployment rate regarding to the present economic situation and relevant forecasting.
  • Suitable models of unemployment rate development in Czech Republic under condition of economic depression were created and presented in this paper. Models?s were based on exponential smoothing and training of artificial neural networks. The most suitable models were exponential eventually damped model with additive seasonality and multilayer perceptron. March?s and April?s unemployment rate forecast was 7.58?7.89 % and 7.63?8.33 % for exponential smoothing respective 7.3?7.45 % and 6.62?8.22 % for multilayer perceptron. Recalculation of exponential smoothing model and retraining of ANNs is necessary at the time when it is possible obtain fresh values of the unemployment rate regarding to the present economic situation and relevant forecasting. (en)
Title
  • Comparison of Inertia of Statistical Methods for Forecasting of Unemployment under Conditions of Economic Depression
  • Comparison of Inertia of Statistical Methods for Forecasting of Unemployment under Conditions of Economic Depression (en)
skos:prefLabel
  • Comparison of Inertia of Statistical Methods for Forecasting of Unemployment under Conditions of Economic Depression
  • Comparison of Inertia of Statistical Methods for Forecasting of Unemployment under Conditions of Economic Depression (en)
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  • RIV/60076658:12510/09:00011038!RIV10-MSM-12510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6007665806)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 307728
http://linked.open...ai/riv/idVysledku
  • RIV/60076658:12510/09:00011038
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Time series; Exponential Smoothing; Artificial Neural Networks; Rate of Unemployment and Forecasting (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • RO - Rumunsko
http://linked.open...ontrolniKodProRIV
  • [4251A05AD8F3]
http://linked.open...i/riv/nazevZdroje
  • Lucrari Stintifice
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http://linked.open...ichTvurcuVysledku
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http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 11
http://linked.open...iv/tvurceVysledku
  • Biskup, Roman
  • Čermáková, Anna
http://linked.open...n/vavai/riv/zamer
issn
  • 1453-1410
number of pages
http://localhost/t...ganizacniJednotka
  • 12510
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