NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

Does "Aggregation Bias" Explain the PPP Puzzle?

Shiu-Sheng Chen, Charles Engel

NBER Working Paper No. 10304*
Issued in February 2004
NBER Program(s):   ITI    IFM

Recently, Imbs et. al. (2002) have claimed that much of the purchasing power parity puzzle can be explained by aggregation bias'. This paper re-examines aggregation bias. First, it clarifies the meaning of aggregation bias and its applicability to the PPP puzzle. Second, the size of the bias' is shown to be much smaller than the simulations in Imbs et. al. (2002) suggest, if we rule out explosive roots in the simulations. Third, we show that the presence of non-persistent measurement error especially in the Imbs et. al. (2002) data can make price series appear less persistent than they really are. Finally, it is now standard to recognize that small-sample bias plagues estimates of speeds of convergence of PPP. After correcting small sample bias by methods proposed by Kilian (1998) and by So and Shin (1999), the half-life estimates indicate that heterogeneity and aggregation bias do not help to solve the PPP puzzle.

*Published: Chen, Shiu-Sheng and Charles Engel. "Does' Aggregation Bias' Explain The PPP Puzzle?," Pacific Economic Review, 2005, v10(1,Feb), 49-72.

You may purchase this paper on-line in .pdf format from SSRN.com ($5) for electronic delivery.

Information about Free Papers

You should expect a free download if you are a subscriber, a corporate associate of the NBER, a journalist, a site with your domain name in ".GOV", or a resident of nearly any developing country or transition economy.

If you usually get free papers at work/university but do not at home, you can either connect to your work VPN or proxy (if any) or elect to have a link to the paper emailed to your work email address below. The email address must be connected to a subscribing college, university, or other subscribing institution. Gmail and other free email addresses will not have access.

E-mail:

Machine-readable bibliographic record - MARC, RIS, BibTeX

 
Publications
Activities
Meetings
Data
People
About

National Bureau of Economic Research, 1050 Massachusetts Ave., Cambridge, MA 02138; 617-868-3900; email: info@nber.org