Arbeitspapier

Simulating WTP values from random-coefficient models

Discrete Choice Experiments (DCEs) designed to estimate willingness-to-pay (WTP) values are very popular in health economics. With increased computation power and advanced simulation techniques, random-coefficient models have gained an increasing importance in applied work as they allow for taste heterogeneity. This paper discusses the parametrical derivation of WTP values from estimated random-coefficient models and shows how these values can be simulated in cases where they do not have a known distribution.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 0912

Classification
Wirtschaft
Statistical Simulation Methods: General
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
Subject
willingness-to-pay
discrete choice
simulation
random-coefficient models
Willingness to pay
Simulation
Diskrete Entscheidung
Statistische Verteilung
Theorie

Event
Geistige Schöpfung
(who)
Rischatsch, Maurus
Event
Veröffentlichung
(who)
University of Zurich, Socioeconomic Institute
(where)
Zurich
(when)
2009

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Rischatsch, Maurus
  • University of Zurich, Socioeconomic Institute

Time of origin

  • 2009

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