Are All Quality Dimensions of Equal Importance when Measuring the Perceived Quality of Official Statistics? Evidence from Spain

Costa Alex (), Garcıá Jaume () and Raymond Josep Lluis ()
Additional contact information
Costa Alex: Institut d’Estadı´stica de Catalunya, Via Laietana 58, 08003 Barcelona, Spain
Garcıá Jaume: Departament d’Economia i Empresa, Universitat Pompeu Fabra, Ramon Trias Fargas 25-27, 08005 Barcelona, Spain
Raymond Josep Lluis: Department d’Economia i d’Histo`ria Econo`mica, Universitat Auto`noma de Barcelona, Edifici B, Campus Bellaterra, 08193 Bellaterra, Barcelona, Spain
Authors registered in the RePEc Author Service: Jaume Garcia Villar

Journal of Official Statistics, 2014, vol. 30, issue 3, 547-562

Abstract: Quality has become the key concept in official statistics. There is a general consensus that we have to consider several components when assessing the quality of statistical information. Relevance, accuracy, timeliness, punctuality, comparability, coherence, accessibility and clarity are the dimensions most frequently mentioned. In this article we use regression analysis to evaluate the contribution of these different dimensions when assessing the overall quality of statistical products. We do this using the information collected in the structured consultation with users and experts from both inside and outside the Spanish Central Administration carried out by the Working Group of the Spanish High Council on Statistics, responsible for the preliminary draft of the proposals and recommendations of this council for the Spanish Multiannual Statistical Programme 2013-2016. We find that the abovementioned dimensions have different weights in the overall assessment of perceived quality (with accuracy and reliability having the highest weight, and relevance having the lowest) and that the structure differs between both types of users.

Keywords: Quality; dimensions; consultation; weight; regression (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/jos-2014-0034 (text/html)

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:vrs:offsta:v:30:y:2014:i:3:p:16:n:13

DOI: 10.2478/jos-2014-0034

Access Statistics for this article

Journal of Official Statistics is currently edited by Annica Isaksson and Ingegerd Jansson

More articles in Journal of Official Statistics from Sciendo
Bibliographic data for series maintained by Peter Golla ().