Environmental Valuation with Discrete Choice Experiments in R
A Guide on Design, Implementation, and Data Analysis
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Beschreibung
This open access book offers advice and practical guidance for conducting discrete choice experiments (DCEs) in environmental valuation. It covers essential aspects of designing, implementing, and analysing choice experiments. Each chapter includes scripts and guidance, showcasing how to execute every step of a DCE using the free statistical computing and graphics software, R. This feature enhances accessibility and versatility for researchers in the field. While not providing strict guidelines, the book assists readers in steering clear of common mistakes encountered in applied work. With its insights and expertise, it equips researchers and practitioners to effectively navigate the complexities of DCEs.
This open access book offers advice and practical guidance for conducting discrete choice experiments (DCEs) in environmental valuation. It covers essential aspects of designing, implementing, and analysing choice experiments. Each chapter includes scripts and guidance, showcasing how to execute every step of a DCE using the free statistical computing and graphics software, R. This feature enhances accessibility and versatility for researchers in the field. While not providing strict guidelines, the book assists readers in steering clear of common mistakes encountered in applied work. With its insights and expertise, it equips researchers and practitioners to effectively navigate the complexities of DCEs.
This book is open access, which means that you have free and unlimited access Offers practical guidance for conducting survey-based discrete choice experiments Features R scripts for each step of implementation and data analysis Covers the entire process of conducting DCEs, including survey design, data collection, estimation, and validation
Autor*in
Petr Mariel
Themen in »Environmental Valuation with Discrete Choice Experiments in R«
Open Access Discrete choice experiment Stated preference method Environmental valuation Survey design Questionnaire design R-scripts Experimental design R code Quantitative economics