OECD Statistics Working Papers

ISSN: 
1815-2031 (online)
DOI: 
10.1787/18152031
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The OECD Statistics Working Paper Series - managed by the OECD Statistics Directorate – is designed to make available in a timely fashion and to a wider readership selected studies prepared by staff in the Secretariat or by outside consultants working on OECD projects. The papers included are of a technical, methodological or statistical policy nature and relate to statistical work relevant to the organisation. The Working Papers are generally available only in their original language - English or French - with a summary in the other.

Joint Working Paper

Measuring Well-being and Progress in Countries at Different Stages of Development: Towards a More Universal Conceptual Framework (with OECD Development Centre)

Measuring and Assessing Job Quality: The OECD Job Quality Framework (with OECD Directorate for Employment, Labour and Social Affairs)

Forecasting GDP during and after the Great Recession: A contest between small-scale bridge and large-scale dynamic factor models (with OECD Economics Directorate)

Decoupling of wages from productivity: Macro-level facts(with OECD Economics Directorate)

 

Access to new data sources for statistics

Business models and incentives for the corporate sector You or your institution have access to this content

English
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Author(s):
Thilo Klein1, Stefaan Verhulst2
Author Affiliations
  • 1: OECD, France

  • 2: The GovLab, United States

05 May 2017
Bibliographic information
No:
2017/06
Pages:
37
DOI: 
10.1787/9a1fa77f-en

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New data sources, commonly referred to as “Big Data”, have attracted growing interest from National Statistical Institutes. They have the potential to complement official and more conventional statistics used, for instance, to determine progress towards the Sustainable Development Goals (SDGs) and other targets. However, it is often assumed that this type of data is readily available, which is not necessarily the case. This paper examines legal requirements and business incentives to obtain agreement on private data access, and more generally ways to facilitate the use of Big Data for statistical purposes. Using practical cases, the paper analyses the suitability of five generic data access models for different data sources and data uses in an emerging new data ecosystem. Concrete recommendations for policy action are presented in the conclusions.
Keywords:
business model, official statistics, Big Data, public-private partnership (PPP), data ecosystem
JEL Classification:
  • C55: Mathematical and Quantitative Methods / Econometric Modeling / Large Data Sets: Modeling and Analysis
  • C81: Mathematical and Quantitative Methods / Data Collection and Data Estimation Methodology ; Computer Programs / Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; Data Access
  • C82: Mathematical and Quantitative Methods / Data Collection and Data Estimation Methodology ; Computer Programs / Methodology for Collecting, Estimating, and Organizing Macroeconomic Data ; Data Access
 
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