IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Advances in Consumption-Based Asset Pricing: Empirical Tests

Listed author(s):
  • Sydney C. Ludvigson

The last 15 years has brought forth an explosion of research on consumption-based asset pricing as a leading contender for explaining aggregate stock market behavior. This research has propelled further interest in consumption-based asset pricing, as well as some debate. This chapter surveys the growing body of empirical work that evaluates today's leading consumption-based asset pricing theories using formal estimation, hypothesis testing, and model comparison. In addition to summarizing the findings and debate, the analysis seeks to provide an accessible description of a few key econometric methodologies for evaluating consumption-based models, with an emphasis on method-of-moments estimators. Finally, the chapter offers a prescription for future econometric work by calling for greater emphasis on methodologies that facilitate the comparison of multiple competing models, all of which are potentially misspecified, while calling for reduced emphasis on individual hypothesis tests of whether a single model is specified without error.

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

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16810.

in new window

Date of creation: Feb 2011
Publication status: published as Handbook of the Economics of Finance Volume 2, Part B, 2013, Pages 799–906 Cover image Chapter 12 – Advances in Consumption-Based Asset Pricing: Empirical Tests * Sydney C. Ludvigson
Handle: RePEc:nbr:nberwo:16810
Note: AP EFG
Contact details of provider: Postal:
National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.

Phone: 617-868-3900
Web page:

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

in new window

  1. Jules H. van Binsbergen & Michael W. Brandt & Ralph S.J. Koijen, "undated". "On the Timing and Pricing of Dividends," Swiss Finance Institute Research Paper Series 11-13, Swiss Finance Institute.
  2. Del Negro, Marco & Schorfheide, Frank & Smets, Frank & Wouters, Rafael, 2007. "On the Fit of New Keynesian Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 123-143, April.
Full references (including those not matched with items on IDEAS)

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:nbr:nberwo:16810. 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: ()

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.