Advanced Search
MyIDEAS: Login to save this paper or follow this series

Multiple Causation and the Measurement of Unemployment


Author Info

  • Peter Rodenburg

    (Faculty of Economics and Econometrics, Universiteit van Amsterdam)


The establishment of appropriate policy measures for fighting unemployment has always been difficult since causes of unemployment are hard to identify. This paper analyses an approach used mainly in the 1960s and 1970s in economics, in which classification is used as a way to deal with such a complex, multiple causal phenomenon like unemployment. The method is based on decomposing unemployment into classes of unemployment and the measurement of each of these classes by reference to stable, measurable macroeconomic relationships like the Phillips curve and the Beveridge curve. In this way economists were able to ‘diagnose’ unemployment and make policy recommendations for fighting unemployment without making explicit reference to the underlying singular causes of unemployment.

Download Info

If 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.
File URL:
Download Restriction: no

Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 04-108/1.

as in new window
Date of creation: 28 Sep 2004
Date of revision:
Handle: RePEc:dgr:uvatin:20040108

Contact details of provider:
Web page:

Related research

Keywords: Classification of unemployment; Causality; Theories of unemployment; Phillips curve; Beveridge curve; Economic policy measures;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:


No references listed on IDEAS
You can help add them by filling out this form.



This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.


Access and download statistics


When requesting a correction, please mention this item's handle: RePEc:dgr:uvatin:20040108. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Antoine Maartens (+31 626 - 160 892)).

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.