IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

Measuring Consumer Surplus with Unknown Hicksian Demands

  • Irvine, Ian J
  • Sims, William A

The objective of this paper to introduce the Slutsky demand curve as a tool in welfare analysis. It is shown that the compensating or equivalent variation can in most cases be measured to within a fraction of a percent of their true value without any numerical integration techniques. Two well known examples in the literature are explored. A theoretical measure of the accuracy of the Slutsky based measure, relative to the Marshallian measure, is developed. The approach is locally path independent and can be used to measure the money value of a ration. Finally it application to models of labour supply is explored an an error in the literature is corrected.

(This abstract was borrowed from another version of this item.)

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:
File Function: full text
Download Restriction: Access to full text is restricted to JSTOR subscribers. See for details.

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.

Article provided by American Economic Association in its journal American Economic Review.

Volume (Year): 88 (1998)
Issue (Month): 1 (March)
Pages: 314-22

in new window

Handle: RePEc:aea:aecrev:v:88:y:1998:i:1:p:314-22
Contact details of provider: Web page:

More information through EDIRC

Order Information: Web:

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.

When requesting a correction, please mention this item's handle: RePEc:aea:aecrev:v:88:y:1998:i:1:p:314-22. 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: (Jane Voros)

or (Michael P. Albert)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.