'You say you want a [data] revolution': A proposal to use unofficial statistics for the SDG Global Indicator Framework

Autor:	Stephen MacFeely, Bojan Nastav
Rok vydání:	2019
Předmět:	Economics and Econometrics Fundamental principles of official statistics Actuarial science Risk management business.industry Political science 2030 Agenda Statistics Probability and Uncertainty business Accreditation Management Information Systems
Zdroj:	Statistical Journal of the IAOS. 35:309-327
ISSN:	1875-9254 1874-7655
DOI:	10.3233/sji-180486
Popis:	This paper argues that the Global Indicator Framework required to support the 2030 Agenda Sustainable Development Goals will not be successfully populated, using only existing approaches and mechanisms. Official statistical systems must adapt and consider new approaches if only partial success is to be averted. This paper presents a proposal to accredit unofficial statistics as official for the purposes of compiling sustainable development goal indicators. While there may be some reluctance, and there are certainly risks with this proposal, the arguments put forward highlight the potential for collaboration.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d775fa05e795b50f296636161293a03 https://doi.org/10.3233/sji-180486 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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