Optimal Designs of Discrete Response Experiments in Contingent Valuation Studies
Bibliographic Data
| ID | 19319575 |
|---|---|
| Authors | Hans Nyquist (corresponding author) |
| Year | 1992 |
| Volume | 74 |
| Issue | 3 |
| Pages | 559 |
| Publication date | 1992-08-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Review of Economics and Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0034-6535 • E-ISSN: 1530-9142 |
| Publisher | JSTOR (PUBLISHER) |
| DOI | 10.2307/2109503 |
| OpenAlex | W2017934572 |
| Language | EN |
| Citations received | 4 |
Optimal designs for estimating model parameters and other characteristics such as mean and median willingness-to-pay are discussed.when a logistic or a probit regression model is used for analyzing a contingent valuation study with discrete questions. A numerical example, related to a study of the value of preserving some virgin forests in Sweden, illustrates the efficiencies of different designs and how a sequential procedure can be applied. Copyright 1992 by MIT Press
Contingent valuation · Econometrics · Economics · Mathematical economics · Microeconomics · Statistics · Valuation (finance) · Willingness to pay · Economic and Environmental Valuation · Finance · Mathematics · Optimal Experimental Design Methods · Statistical Methods and Bayesian Inference
| Citations per year | 0.21 |
|---|---|
| Citation span | 2007 - 2009 (3) |
| Highly cited | No |