Hidden in Plain Sight: Unpaid Household Services and the Politics of GDP Measurement
Daniel DeRock
New Political Economy, 2021, vol. 26, issue 1, 20-35
Abstract:
Gross domestic product (GDP) is one of the world’s most influential and widely cited economic indicators. However, outside of the industrialised, market-based context in which the indicator was first designed, GDP measurement suffers from a number of biases and blind spots. The article zooms in on one of these: the exclusion of unpaid household services from the production boundary of the System of National Accounts, the international standard underpinning GDP methodology. While GDP has expanded over time to include activities as diverse as financial services and the informal sector, the treatment of unpaid household services has remained unchanged. Why is this? I find that staff in the statistical departments of international organisations such the United Nations, International Monetary Fund and World Bank have a tremendous degree of agency in the governance of GDP. While these statisticians are aware of and engage with criticisms, they reject the inclusion of unpaid household services based on shared professional norms and economic ideas.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://hdl.handle.net/10.1080/13563467.2019.1680964 (text/html)
Access to full text is restricted to subscribers.
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:taf:cnpexx:v:26:y:2021:i:1:p:20-35
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/cnpe20
DOI: 10.1080/13563467.2019.1680964
Access Statistics for this article
New Political Economy is currently edited by Professor Colin Hay
More articles in New Political Economy from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().