Titlebook: Environmental Valuation with Discrete Choice Experiments; Guidance on Design, Petr Mariel,David Hoyos,Mara Thiene Book‘‘‘‘‘‘‘‘ 2021 The Au

MUT

Theoretical Background,ction, the expenditure function, or the concepts of compensating surplus or equivalent surplus. Next, it draws attention to willingness to pay and willingness to accept, essential measures in environmental valuation. Finally, the chapter summarises the basic mathematical notation of the random utility maximisation?models used throughout the book.

結(jié)束

harangue

Folklore

https://doi.org/10.1007/978-3-7091-2614-1h as the description of the environmental good, pretesting of the survey, incentive compatibility, consequentiality or mitigation of hypothetical bias. For the latter, cheap talk scripts, opt-out reminders or an oath script are discussed. Moreover, the use of instructional choice sets, the identific

松軟

Jonathan D. Carlson,Kenneth M. Alóly, it focuses on the dimensionality of a choice experiment and the statistical techniques used to allocate attribute levels to choice tasks. Among others, the pros and cons of orthogonal designs, optimal orthogonal in the differences designs as well as efficient designs are addressed. The last sect

outset

Generalized Isotropic Procrustes Analysisinclude sample size and the type of sampling that enable precise estimates to be obtained. Regarding the survey mode, discrete choice experiments can be implemented by mail, telephone, face-to-face or web surveys. Each of these survey modes has its advantages and shortcomings. They are described and

cleaver

Paleontology

Elizabeth D. Hughes,Thomas L. Saundersning of scale heterogeneity in discrete choice models and the application of various information processing rules such as random regret minimisation or attribute non-attendance. Other topics are anchoring and learning effects when respondents move through a sequence of choice tasks as well as differ

沙漠

Advanced Protocols in Oxidative Stress Ito the specified model and the assumptions underlying that model. It further describes how the calculation of these measures is affected by the inclusion of preference heterogeneity, including the incorporation of interaction terms to capture observed preference heterogeneity or random parameters to

泥沼

Beniamino Palmieri,Valeriana Sblendorioor assessing the validity of the welfare estimates obtained in the choice experiment, namely content, construct and criterion validity. Secondly, it discusses how the reliability of the recorded choices can be assessed. It then discusses issues related to model comparison and selection. Finally, it