Methodology for processing econometric models using SPSS and microsoft excel programs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F22%3A10251819" target="_blank" >RIV/61989100:27350/22:10251819 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Methodology for processing econometric models using SPSS and microsoft excel programs
Original language description
We consider econometrics as a scientific discipline that applies the tools of statistics and mathematics in the field of economics and uses computer science. The main reasons for the emergence of econometrics were the great economic crisis, criticism of economic research, the use of mathematics and statistics in economics. Thanks to the use of informatics, we can present the achieved results as well as information about econometric models. The achieved results in the form of tables and graphs are displayed with specialized software programs. Some of the most-widely used software packages include Microsoft Excel, Stata, R, SAS, and SPSS. These software programs will be compared in terms of the price of software packages, their features, and the classification of the area of application that describes a particular program. Based on the results, we determine which software is most suitable for certain areas of research.
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
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IT for Practice 2022 : proceedings of the 25th International Conference on IT4P - Information Technology for Practice 2022 : 13th-14th October 2022, Ostrava, Czech Republic
ISBN
978-80-11-02680-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
129-133
Publisher name
VŠB - Technical University of Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Oct 13, 2022
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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