Are Industrial Companies in the Czech Republic Able to Predict the Short-term Future of the Economy?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F18%3A00052425" target="_blank" >RIV/61384399:31140/18:00052425 - isvavai.cz</a>
Result on the web
<a href="http://www.amse-conference.eu/wp-content/uploads/2018/09/AMSE_2018_Ptackova-et-al.pdf" target="_blank" >http://www.amse-conference.eu/wp-content/uploads/2018/09/AMSE_2018_Ptackova-et-al.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Are Industrial Companies in the Czech Republic Able to Predict the Short-term Future of the Economy?
Original language description
Main topics of the document: business and consumer survey; business tendency survey; prediction ability
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applications of Mathematics and Statistics in Economics (AMSE2018)
ISBN
978-80-245-2277-7
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
"nestrankovano"
Publisher name
Oeconomica Publishing House
Place of publication
Prague
Event location
Kutná Hora
Event date
Aug 29, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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