EconPapers    
Economics at your fingertips  
 

Improving Willingness-to-Pay Elicitation by Including a Benchmark Good

Rebecca Dizon-Ross and Seema Jayachandran

No 29814, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: We propose and validate a simple way to augment the standard Becker-DeGroot-Marschak method that researchers use to elicit willingness to pay (WTP) for a good. The augmentation is to measure WTP for another good ("benchmark good"), one unrelated to both the good the researcher is interested in and the independent variables of interest, and to use WTP for the benchmark good as a control variable in analyses. We illustrate the method and how it can eliminate noise in measured WTP using data collected in Uganda.

JEL-codes: C83 O1 (search for similar items in EconPapers)
Date: 2022-03
New Economics Papers: this item is included in nep-dcm
Note: CH DEV
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Published as Rebecca Dizon-Ross & Seema Jayachandran, 2022. "Improving Willingness-to-Pay Elicitation by Including a Benchmark Good," AEA Papers and Proceedings, vol 112, pages 551-555.

Downloads: (external link)
http://www.nber.org/papers/w29814.pdf (application/pdf)

Related works:
Journal Article: Improving Willingness-to-Pay Elicitation by Including a Benchmark Good (2022) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:29814

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w29814

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().

 
Page updated 2025-03-22
Handle: RePEc:nbr:nberwo:29814