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

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Experimental Design,ly, 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

ATP861

overrule

Econometric Modelling: Basics,l form of the attributes in the utility function. Next, it focuses on econometric models with special attention devoted to the random parameter mixed logit model. In this context, the chapter compares different coefficient distributions to be used, addresses specifics of the cost attribute coefficie

有機(jī)體

Econometric Modelling: Extensions,ning 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

有機(jī)體

Calculating Marginal and Non-marginal Welfare Measures,to 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

Inferior

Validity and Reliability,or 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

節(jié)約

Software,into proprietary and non-proprietary, according to the operating system required and modelling capabilities. Abilities of both selected commercial (Stata, SAS and Latent Gold, e.g.) and open-source packages (Biogeme and R-libraries) are considered. Finally, some user-written estimation packages for

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Developing the Questionnaire,. For the latter, cheap talk scripts, opt-out reminders or an oath script are discussed. Moreover, the use of instructional choice sets, the identification of protest responses and strategic bidders are considered. Finally, issues related to the payment vehicle and the cost vector design are the subject of this section.