Trying to assess the quality of macroeconomic data: The case of Swiss labour productivity growth as an example
AbstractMacroeconomic data are indispensable for modern governance, yet it is often unclear how reliable these data are. The production process of macroeconomic data inside the statistical offices is often not very transparent for the general public. Bystanders usually have no choice but to take for granted the published data because criteria by which to judge data quality are wanting. Hoping to contribute to a better understanding of the quality of macroeconomic data, this paper proposes several plausibility checks and applies them to recently published Swiss labour productivity growth figures. Although the proposed checks cannot "prove" or "disprove" the official data, they are capable of either strengthening our confidence in the official data or, alternatively, of casting them into doubt. Policy debates drawing on official data will hardly be able to ignore differences in the degree of confidence with which these data are held to be accurate.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by OECD Publishing,CIRET in its journal OECD Journal: Journal of Business Cycle Measurement and Analysis.
Volume (Year): 2008 (2008)
Issue (Month): 1 ()
Other versions of this item:
- Jochen Hartwig, 2007. "Trying to Assess the Quality of Macroeconomic Data – the Case of Swiss Labour Productivity Growth as an Example," KOF Working papers 07-173, KOF Swiss Economic Institute, ETH Zurich.
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Jochen Hartwig, 2010.
"‘Baumol’s diseases’: the case of Switzerland,"
KOF Working papers
10-250, KOF Swiss Economic Institute, ETH Zurich.
- Mico Mrkaic, 2010. "Information Content of DQAF Indicators," IMF Working Papers 10/204, International Monetary Fund.
- Abrahamsen, Yngve & Hartwig, Jochen, 2011. "Inventory investment and production in Europe during the "Great Recession": Is there a pattern?," International Journal of Production Economics, Elsevier, vol. 132(2), pages 174-177, August.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.