You are here: Home
/ Publication Information
Title: Efficiency versus bias: the role of distributional parameters in count contingent behaviour models
Author: Englin, Joseph; Pang, Arwin; Holmes, Thomas;
Source: In: Bennett, J., ed. The International Handbook on Non-market Environmental Valuation. Northampton MA: Edward Elgar. 87-200.
Publication Series: Book Chapter
Description: One of the challenges facing many applications of non-market valuations is to find data with enough variation in the variable(s) of interest to estimate econometrically their effects on the quantity demanded. A solution to this problem was the introduction of stated preference surveys. These surveys can introduce variation into variables where there is no natural variation and, as a result, natural experiments are not possible. The problem of no or insufficient variation in naturally occurring data to estimate the effects of interest has led to a large literature on stated preference methods.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication. (Please specify exactly
which publication you are requesting and your mailing address.)
XML: View XML
Englin, Joseph; Pang, Arwin; Holmes, Thomas 2011. Efficiency versus bias: the role of distributional parameters in count contingent behavior models. In: Bennett, J., ed. The International Handbook on Non-market Environmental Valuation. Northampton MA: Edward Elgar. 87-200.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility