DOI: 10.5593/sgem2017/21/S07.059


D. Dimova
Wednesday 13 September 2017 by Libadmin2017

References: 17th International Multidisciplinary Scientific GeoConference SGEM 2017, www.sgem.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-01-0 / ISSN 1314-2704, 29 June - 5 July, 2017, Vol. 17, Issue 21, 463-470 pp, DOI: 10.5593/sgem2017/21/S07.059


The article presents modeling data on taxes and average annual salary in Bulgaria. This information is stored in a created relational database containing twelve tables. Updating the database is done each year, and the respective new records are entered into the indicated tables. The data about the taxes that are included in total expenditure of households by expenditure groups, average annual salary in Bulgaria and average annual salary by regions (North-West, North Central, North-East, South-East, South-West and South Central) in Bulgaria are searched from the database. Selected set of criteria is used to form queries from it. The methods of regression analysis and hierarchical cluster analysis are applied to the obtained information. Linear regression models are used to describe the change on the taxes and the average annual salary in relevant region by years. The grouping of these investigated indicators is discussed. The mentioned information about regions, household expenditure and income, salaries and etc. related to other countries could also be entered and stored in the database and subsequently could be analysed. The examined time interval in the article includes 16 years period from 1999 to 2014.

Keywords: Relational database, modeling, linear regression models, taxes, average annual salary

Home | Contact | Site Map | Site statistics | Visitors : 0 / 353063

Follow site activity en  Follow site activity INFORMATICS  Follow site activity Papers SGEM2017   ?

CrossRef Member    Indexed in ISI Web Of Knowledge   Indexed in ISI Web Of Knowledge

© Copyright 2001 International Multidisciplinary Scientific GeoConference & EXPO SGEM. All Rights Reserved.

Creative Commons License