Application of Probabilistic Inference in Defining Impact of the General Government Sector’s Size on the Economy and Determining the Size of the Sector by the Economy in the EU

Mroczek Teresa (), Skica Tomasz () and Rodzinka Jacek ()
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Mroczek Teresa: Department of Expert Systems and Artificial Intelligence, University of Information Technology and Management
Skica Tomasz: Department of Finance, University of Information Technology and Management UITM, the Institute for Financial Research and Analyses in Rzeszow
Rodzinka Jacek: Department of Finance, University of Information Technology and Management UITM, The Institute for Financial Research and Analyses in Rzeszow

Financial Internet Quarterly (formerly e-Finanse), 2018, vol. 14, issue 1, 1-11

Abstract: The article’s objective is to apply probabilistic inference in determination of the impact of the size of the general government sector on the economy and the impact of the economy on the size of the sector in EU Member States. The research indicated that 4 of 13 variables describing the size of the general government sector have a significant impact on the economic parameters and determined their value and that impact of the economy on the general government sector is significantly more identified than determination of the economy by the sector size.

Keywords: General government sector size; economy; public finance; impact of size of general government sector on the economy; Bayesian networks; probabilistic inference (search for similar items in EconPapers)
JEL-codes: E62 H11 H20 H50 H60 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:finiqu:v:14:y:2018:i:1:p:1-11:n:5

DOI: 10.2478/fiqf-2018-0001

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