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This chapter introduces the case study used throughout the book to guide the reader through the steps of conducting a discrete choice experiment in R. The case study is based on the paper published as Meyerhoff et al. (2010), studying the landscape externalities of wind power generation. The original study was a choice experiment surveying preferences on the design of onshore wind farms in two regions in Germany, and the details of the study, particularly the attributes and their levels, demonstrate the real-world applications of discrete choice experiments. In this chapter, we familiarise readers with the wind power case study to prepare them for the estimation, data collection and analysis phase in the following chapters of the book.

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Case Study

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Petr Mariel,
  • Danny Campbell,
  • Erlend Dancke Sandorf,
  • Jürgen Meyerhoff,
  • Ainhoa Vega-Bayo,
  • Rebecca Blevins

摘要

This chapter introduces the case study used throughout the book to guide the reader through the steps of conducting a discrete choice experiment in R. The case study is based on the paper published as Meyerhoff et al. (2010), studying the landscape externalities of wind power generation. The original study was a choice experiment surveying preferences on the design of onshore wind farms in two regions in Germany, and the details of the study, particularly the attributes and their levels, demonstrate the real-world applications of discrete choice experiments. In this chapter, we familiarise readers with the wind power case study to prepare them for the estimation, data collection and analysis phase in the following chapters of the book.