Environmental Valuation with Discrete Choice Experiments: Guidance on Design, Implementation and Data Analysis 1st edition by Petr Mariel, David Hoyos, Jürgen Meyerhoff, Mikolaj Czajkowski, Thijs Dekker, Klaus Glenk, Jette Bredahl Jacobsen, Ulf Liebe, Søren Bøye Olsen, Julian Sagebiel, Mara Thiene – Ebook PDF Instant Download/DeliveryISBN: 3030626687, 9783030626686
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Product details:
ISBN-10 : 3030626687
ISBN-13 : 9783030626686
Author: Petr Mariel, David Hoyos, Jürgen Meyerhoff, Mikolaj Czajkowski, Thijs Dekker, Klaus Glenk, Jette Bredahl Jacobsen, Ulf Liebe, Søren Bøye Olsen, Julian Sagebiel, Mara Thiene
This open access book offers up-to-date advice and practical guidance on how to undertake a discrete choice experiment as a tool for environmental valuation. It discusses crucial issues in designing, implementing and analysing choice experiments. Compiled by leading experts in the field, the book promotes discrete choice analysis in environmental valuation through a more solid scientific basis for research practice. Instead of providing strict guidelines, the book helps readers avoid common mistakes often found in applied work. It is based on the collective reflections of the scientific network of researchers using discrete choice modelling in the field of environmental valuation
Environmental Valuation with Discrete Choice Experiments: Guidance on Design, Implementation and Data Analysis 1st Table of contents:
1 Theoretical Background
1.1 Welfare Economics.
1.2 Random Utility Maximisation Model.
References
2 Developing the Questionnaire
Structure of the Questionnaire 2.1
Description of the Environmental Good 2.2
Survey Pretesting: Focus Groups and Pilot Testing 2.3
Incentive Compatibility 2.4
2.5 Consequentiality
2.6 Cheap Talk, Opt-Out Reminder and Oath Script..
2.7 Instructional Choice Sets…..
2.8 Identifying Protesters
2.9 Identifying Strategic Bidders.
2.10 Payment Vehicle and Cost Vector Design
References
3 Experimental Design
3.1 The Dimensionality of a Choice Experiment
3.1.1 Number of Choice Tasks
3.1.2 Number of Attributes
3.1.3 Number of Alternatives
3.1.4 Other Dimensionality Issues
Statistical Design of the Choice Tasks 3.2
3.3 Checking Your Statistical Design
References
4 Collecting the Data
4.1 Sampling Issues
Survey Mode (Internet, Face-To-Face, Postal) 4.2
References
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Tags: Environmental Valuation, Discrete, Choice Experiments, Implementation, Data Analysis, Petr Mariel, David Hoyos, Jürgen Meyerhoff, Mikolaj Czajkowski, Thijs Dekker, Klaus Glenk, Jette Bredahl Jacobsen, Ulf Liebe, Søren Bøye Olsen, Julian Sagebiel, Mara Thiene