A comparison of approaches to estimating confidence intervals for willingness to pay measures.

By Arne Hole. Health Economics, 2007

664 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/82b6b790de059a7b590cb6cf84456b7deb4c867c

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Citations in the corpus

Conducting Discrete Choice Experiments to Inform Healthcare Decision Making (2012, background): “Risa Hole 15 16 (2007i87J provides a useful review and comparison of methods available to calculate 17 18 confidence intervals.”
The Impact of High and Growing Government Debt on Economic Growth: An Empirical Investigation for the Euro Area (2010, neutral): “27 ECB Working Paper Series No 1237 August 2010 Schuknecht, L., J. von Hagen and G. Wolswijk (2009), Government Bond Risk Premiums in the EU revisited: The Impact of the Financial Crisis, CEPR paper No. 7499. Smyth, D. and Hsing, Y. (1995), “In search of an optimal debt ratio for economic growth”, C”
Are consumers willing to pay more for electricity from cooperatives? Results from an online Choice Experiment in Germany (2014, methodology): “Upper and lower limits form the confidence intervals of WTP values, calculated with the delta method (Hole 2007) at a 95% confidence level.”
Calculating Errors for Measures Derived from Choice Modeling Estimates (2012, background): “The approach of making calculations based on the assumption that the numerator and denominator of the parameter ratio are normally distributed is also widespread in other literatures such as health economics (see e.g. Hole, 2007).”
Modeling heterogeneity in consumer preferences for select food safety attributes in China (2011, methodology): “This method produces analogous results to estimating a standard error using the delta method, however, it relaxes the assumption that WTP is symmetrically distributed (Hole, 2007).”
Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market Goods (2009, background): “From these distributions, confidence intervals are derived by identifying the relevant percentiles (Hole 2007).”
Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach (2010, methodology): “At this point, the 0.025 and 0.975 percentile has been used as the limits of the condence interval at the 95% level ( Hole, 2007 ).”
Is the Welfare State Sustainable? Experimental Evidence on Citizens' Preferences for Redistribution (2010, neutral): “The computation of the variance of the marginal WTP values is performed by the delta method, cf. Hole (2007)6.”
Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software (2017, methodology): “While mWTP measures are straightforward to calculate when the utility function is linear in parameters, routines for obtaining confidence intervals using either the delta method or parametric (Krinsky–Robb) or non-parametric bootstrapping [53] are useful since a measure of the precision of the estim”
A new baseline model for estimating willingness to pay from discrete choice models (2013, methodology): “It is also possible to base confidence intervals on the likelihood ratio test statistic (Williams, 1986) and non-parametric bootstrap approaches (e.g., Hole, 2007).”