Chapter 1. Introduction -- Chapter 2. Steps of a Discrete Choice Experiment -- Chapter 3. Random utility models: Theoretical background -- Chapter 4. Case study -- Chapter 5. Experimental design -- Chapter 6. Data collection in Shiny -- Chapter 7. From Raw Data to Insights -- Chapter 8. Maximum Likelihood and Related Issues -- Chapter 9. Estimation -- Chapter 10. Post-estimation analysis -- Chapter 11. Final thoughts.

Open Access

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.

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