Analysis of Territorial Disparities Using Two-Way Dispersional Analysis

Ana Gabriela Babucea and Cecilia Rabontu

Ovidius University Annals, Economic Sciences Series, 2011, vol. XI, issue 1, 127-130

Abstract: Economic phenomena and processes are often influenced by more then one factor with simultaneous actions. To highlight the extent to which one or more factors, or combinations thereof, affects essentially on a dependent variable, we use analyze of variance. This statistical method does not explain the relationship between variables, but only verify the deviation between the empirical from the theoretical values of the variable, and the extent to which these changes are not dependent by the factor/factors clustering. Therefore, analysis of variance method can be used both before and after application of correlation and regression statistical methods. This paper illustrated a pattern of use of the method to determine the significance of two factors, level of training and gender disparities in regional unemployment in terms.

Keywords: regional disparities; unemployment; two-way analysis of variance; assumptions; F-test (search for similar items in EconPapers)
JEL-codes: E2 J1 R12 (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://stec.univ-ovidius.ro/html/anale/RO/cuprins%20rezumate/rezumate2011p1.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ovi:oviste:v:11:y:2011:i:1:p:127-130

Access Statistics for this article

Ovidius University Annals, Economic Sciences Series is currently edited by Spatariu Cerasela

More articles in Ovidius University Annals, Economic Sciences Series from Ovidius University of Constantza, Faculty of Economic Sciences Contact information at EDIRC.
Bibliographic data for series maintained by Gheorghiu Gabriela ().