A spatial approach in analyzing the structure and dynamics of the Romanian GDP

Author

Boar, Renata-Graziela ; Iovanovici, Alexandru ; Ciocarlie, Horia

Author_Institution

Dept. of Comput., Politeh. Univ., Timisoara, Romania

fYear

2014

fDate

15-17 May 2014

Firstpage

259

Lastpage

262

Abstract

Modern economies are highly dynamical systems with states described by a vast amount of parameters having a lot of uncertainties and in a state of precarious equilibrium. Our research is geared towards applying techniques at the cross roads between econometrics, statistics and graph theory in order to improve the tools for analyzing the key factors that influence the state of the economy as seen through the gross domestic product. The novelty of our approach is characterized by decomposition of the key sectors of the GDP and building a spatial representation of the relationships between them in the form of a complex graph.

Keywords

econometrics; economic indicators; graph theory; statistics; Romanian GDP; complex graph; econometrics; economy state; graph theory; gross domestic product; spatial representation; statistics; Complex networks; Correlation; Data visualization; Economic indicators; Indexes; Measurement; GDP; Romania; econometrics; graphs; scale free networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on

Conference_Location

Timisoara

Type

conf

DOI

10.1109/SACI.2014.6840072

Filename

6840072