Limited dependent variables in willingness to pay studies: applications in health care

C-Tier
Journal: Applied Economics
Year: 1998
Volume: 30
Issue: 5
Pages: 667-677

Authors (4)

Cam Donaldson (not in RePEc) Andrew Jones (University of York) Tracy Mapp (not in RePEc) Jan Abel Olson (not in RePEc)

Score contribution per author:

0.251 = (α=2.01 / 4 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

The appropriate technique for econometric analysis of WTP (willingness to pay) data is an issue which has not been addressed in many studies of WTP for health and health care. This paper argues that, whether an open-ended question or a payment scale approach is adopted, the way in which WTP is recorded means that limited dependent variable models are more appropriate than standard regression analysis. Data from an open ended question on WTP for maternity care contain a large proportion of zeros and the evidence suggests that a two-part specification performs better than OLS or a standard Tobit model. If the payment scale method is adopted, our argument suggests that grouped data regression is an appropriate econometric technique. In practice, with data from a study in Northern Norway, the results from OLS and grouped data regression are broadly similar.

Technical Details

RePEc Handle
repec:taf:applec:v:30:y:1998:i:5:p:667-677
Journal Field
General
Author Count
4
Added to Database
2026-01-25