DATA QUALITY MEASUREMENT PRINCIPLES AND DIMENSIONS

Daina Škiltere and Svetlana Jesilevska ()
Additional contact information
Daina Škiltere: Head of the Chair of economic systems management theory and methods, Faculty of Economics and Management, University of Latvia
Svetlana Jesilevska: Faculty of Economics and Management, University of Latvia, Central statistical bureau of Latvia

Journal of Social and Economic Statistics, 2013, vol. 2, issue 2, 62-71

Abstract: The quality of statistical data is essential for effective decision-making. The problem of evaluating the quality of statistical data is not a new paradigm as rapid methodological changes and globalization complicate the generation of high quality statistical data in all areas. The problem is on selecting appropriate criteria to evaluate the quality of statistical data, not just related to the intention of statistical survey, but also to the beliefs held by both statisticians and respondents. As a result there is a strong need to discuss this topic. In this paper authors provide a multi-dimensional approach of measuring the quality of official statistical data and propose the system of characteristics to determine statistical data quality. To some of the proposed data quality characteristics not much attention has been paid previously.

Keywords: statistical data; quality; measurement; validity; dimensions; quality measures (search for similar items in EconPapers)
JEL-codes: C40 (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://jses.ase.ro/downloads/Vol2NO2/2013skiltere.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:aes:jsesro:v:2:y:2013:i:2:p:62-71.

Access Statistics for this article

Journal of Social and Economic Statistics is currently edited by Zizi Goschin

More articles in Journal of Social and Economic Statistics from Bucharest University of Economic Studies Contact information at EDIRC.
Bibliographic data for series maintained by Bogdan-Vasile Ileanu ().