Bootstrapping in Applied Welfare Analysis
Bootstrapping procedures are used to estimate the statistical properties of common empirical welfare measures. Results from a Monte Carlo experiment indicate that welfare estimates such as Marshallian consumer surplus often exhibit significant bias. Standard errors of welfare estimates are found to often exceed the magnitude of the point estimate for typical cross-section data sets and are generally larger than the difference between comparable Hicksian and Marshallian measures. Precision of welfare estimates can be markedly enhanced through generating larger data sets, obtaining better model fits, and through imposition of innocuous inequality restrictions on the demand function parameters.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||01 Jan 1990|
|Date of revision:|
|Publication status:||Published in American Journal of Agricultural Economics 1990, vol. 72 no. 2, pp. 406-418|
|Contact details of provider:|| Postal: |
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Web page: http://www.econ.iastate.edu
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:isu:genres:1595. 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: (Curtis Balmer)
If references are entirely missing, you can add them using this form.