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

Teresa Mroczek; Tomasz Skica; Jacek Rodzinka

doi:10.2478/fiqf-2018-0001

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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

Financial Internet Quarterly

Volume 14 (2018): Issue 1 (March 2018)

By: Teresa Mroczek, Tomasz Skica and Jacek Rodzinka

Open Access

|Feb 2019

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.

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Articles in this issue

DOI: https://doi.org/10.2478/fiqf-2018-0001 | Journal eISSN: 2719-3454

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Language: English

Page range: 1 - 11

Submitted on: Jan 2, 2017

Accepted on: Sep 20, 2017

Published on: Feb 14, 2019

Published by: University of Information Technology and Management in Rzeszow

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

General government sector size,

economy,

public finance,

impact of size of general government sector on the economy,

Bayesian networks,

probabilistic inference

Related subjects:

Business and economics,

Political economics,

Economic theory, systems and structures,

Microeconomics,

Macroeconomics,

Public finance and fiscal theory

© 2019 Teresa Mroczek, Tomasz Skica, Jacek Rodzinka, published by University of Information Technology and Management in Rzeszow
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 14 (2018): Issue 1 (March 2018)