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Environmental valuation with discrete choice experiments in R = a guide on design, implementation, and data analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Environmental valuation with discrete choice experiments in R/ by Petr Mariel ... [et al.].
Reminder of title:	a guide on design, implementation, and data analysis /
other author:	Mariel, Petr.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xv, 373 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Environmental economics. -
Online resource:	https://doi.org/10.1007/978-3-031-89338-4
ISBN:	9783031893384

Environmental valuation with discrete choice experiments in R = a guide on design, implementation, and data analysis /
Environmental valuation with discrete choice experiments in Ra guide on design, implementation, and data analysis /[electronic resource] :by Petr Mariel ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xv, 373 p. :ill., digital ;24 cm. - Economics of non-market goods and resources ;v. 17. - Economics of non-market goods and resources ;v. 17..

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.

ISBN: 9783031893384

Standard No.: 10.1007/978-3-031-89338-4doiSubjects--Topical Terms:

535179
Environmental economics.

LC Class. No.: HC79.E5

Dewey Class. No.: 333.7

Environmental valuation with discrete choice experiments in R = a guide on design, implementation, and data analysis /
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300 $a xv, 373 p. : $b ill., digital ; $c 24 cm.
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490 1 $a Economics of non-market goods and resources ; $v v. 17
505 0 $a 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.
506 $a Open access.
520 $a 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.
650 0 $a Environmental economics. $3 535179
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650 2 4 $a Quantitative Economics. $3 3538570
700 1 $a Mariel, Petr. $3 3487587
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