Record Details

Quality in Statistical Systems: The Challenge for Puerto Rico

International Public Management Review

View Archive Info
 
 
Field Value
 
Title Quality in Statistical Systems: The Challenge for Puerto Rico
 
Creator Balet, Sonia; University of Puerto Rico
Lawrence, John E.S.; adjunct prof SIPA Columbia University NY
 
Description In Puerto Rico, confidence in public data has been deeply compromised. Examination of extant island data demonstrates shortcomings in measuring basic variables that are now crucial in the international context. Demands from researchers, and from governmental and private constituents resulted in Law 209 of August 28, 2003 (The Law).  The Law created the Statistics Institute of Puerto Rico (The Institute) to induce significant changes in statistical production processes and to coordinate the creation of a reliable statistical system for public data on the island.  As part of its mandate, The Institute is implementing a quality assurance process that aims to guarantee rights of all constituents to opportune and reliable information.  This article summarizes and interprets ongoing initiatives taken by The Institute to meet quality assurance objectives of The Law. It also intends to contribute to broader international conversations on statistical quality and its central role in regaining people’s trust in decision making processes. 
 
Publisher International Public Management Review
 
Contributor —
 
Date 2016-11-15
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://journals.sfu.ca/ipmr/index.php/ipmr/article/view/302
 
Source International Public Management Review; Vol 17, No 2 (2016); 118-130
1662-1387
 
Language eng
 
Relation http://journals.sfu.ca/ipmr/index.php/ipmr/article/view/302/284
 
Rights Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License that allows others to share the work for non-commercial use with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors and IPMR are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository, distribute it via EBSCO, or publish it in a book), with an acknowledgement of its initial publication in this journal.