Data and Code for: Improving Willingness-to-Pay Elicitation by Including a Benchmark Good

Principal Investigator(s):  View help for Principal Investigator(s) Rebecca Dizon-Ross, University of Chicago. Booth School of Business; Seema Jayachandran, Northwestern University

Version:  View help for Version V1

Name File Type Size Last Modified
analysis.do text/plain 7.7 KB 01/18/2022 06:33:AM
analysis_data.dta application/x-stata-dta 1.6 MB 01/10/2022 01:56:PM
readme.txt text/plain 1.6 KB 01/10/2022 01:03:PM

Project Citation: 

Dizon-Ross, Rebecca, and Jayachandran, Seema. Data and Code for: Improving Willingness-to-Pay Elicitation by Including a Benchmark Good. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-04-07. https://doi.org/10.3886/E159881V1

Project Description

Summary:  View help for Summary 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.

Scope of Project

JEL Classification:  View help for JEL Classification
      I32 Measurement and Analysis of Poverty
      J13 Fertility; Family Planning; Child Care; Children; Youth
      O12 Microeconomic Analyses of Economic Development


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Published Versions

V1 [2022-04-07]

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