About: New Model of CPI Predictions Using Time Series of GDP with Solving GDP-CPI Delay Hypothesis     Goto   Sponge   NotDistinct   Permalink

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  • The existence of correlation between economical situation of a state and its effects on construction production is generally known. Thanks to economical and legal specifications of construction field, it is possible to qualitatively forecast future development based on macroeconomic indicators. Macroeconomic indicator of GDP (gross domestic product) is used towards mentioned goal. This paper strives to quantify general relations between these values: GDP and CPI (construction production index). For this purpose, calculation will be used of correlation coefficient of time series based on statistical data of every state in the European Union after solving delay hypothesis. These action create an analytical map of EU with levels of GDP – CPI dependencies which are used in prediction algorithm. Prediction algorithm is created in relation to levels of GDP - CPI dependences and data from their times series. Algorithm is tested on creating CPI predictions for year 2012 for EU states. Output values are compared with real values from Eurostat. Differences are compared with predictions based on neural network and on random predictions with significantly better results.
  • The existence of correlation between economical situation of a state and its effects on construction production is generally known. Thanks to economical and legal specifications of construction field, it is possible to qualitatively forecast future development based on macroeconomic indicators. Macroeconomic indicator of GDP (gross domestic product) is used towards mentioned goal. This paper strives to quantify general relations between these values: GDP and CPI (construction production index). For this purpose, calculation will be used of correlation coefficient of time series based on statistical data of every state in the European Union after solving delay hypothesis. These action create an analytical map of EU with levels of GDP – CPI dependencies which are used in prediction algorithm. Prediction algorithm is created in relation to levels of GDP - CPI dependences and data from their times series. Algorithm is tested on creating CPI predictions for year 2012 for EU states. Output values are compared with real values from Eurostat. Differences are compared with predictions based on neural network and on random predictions with significantly better results. (en)
Title
  • New Model of CPI Predictions Using Time Series of GDP with Solving GDP-CPI Delay Hypothesis
  • New Model of CPI Predictions Using Time Series of GDP with Solving GDP-CPI Delay Hypothesis (en)
skos:prefLabel
  • New Model of CPI Predictions Using Time Series of GDP with Solving GDP-CPI Delay Hypothesis
  • New Model of CPI Predictions Using Time Series of GDP with Solving GDP-CPI Delay Hypothesis (en)
skos:notation
  • RIV/68407700:21110/14:00224153!RIV15-MSM-21110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 32445
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21110/14:00224153
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • construction production index; correlation CPI and GDP; forecasting construction production; predictions (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E522BF4517D4]
http://linked.open...v/mistoKonaniAkce
  • Kroměříž
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • PEOPLE, BUILDINGS AND ENVIRONMENT 2014
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dlask, Petr
  • Dudáš, David
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1805-6784
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně
http://localhost/t...ganizacniJednotka
  • 21110
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