Mariel, Petr.
Environmental Valuation with Discrete Choice Experiments : Guidance on Design, Implementation and Data Analysis. - 1st ed. - 1 online resource (136 pages) - SpringerBriefs in Economics Series . - SpringerBriefs in Economics Series .
Intro -- Preface -- References -- Contents -- Abbreviations -- 1 Theoretical Background -- 1.1 Welfare Economics -- 1.2 Random Utility Maximisation Model -- References -- 2 Developing the Questionnaire -- 2.1 Structure of the Questionnaire -- 2.2 Description of the Environmental Good -- 2.3 Survey Pretesting: Focus Groups and Pilot Testing -- 2.4 Incentive Compatibility -- 2.5 Consequentiality -- 2.6 Cheap Talk, Opt-Out Reminder and Oath Script -- 2.7 Instructional Choice Sets -- 2.8 Identifying Protesters -- 2.9 Identifying Strategic Bidders -- 2.10 Payment Vehicle and Cost Vector Design -- References -- 3 Experimental Design -- 3.1 The Dimensionality of a Choice Experiment -- 3.1.1 Number of Choice Tasks -- 3.1.2 Number of Attributes -- 3.1.3 Number of Alternatives -- 3.1.4 Other Dimensionality Issues -- 3.2 Statistical Design of the Choice Tasks -- 3.3 Checking Your Statistical Design -- References -- 4 Collecting the Data -- 4.1 Sampling Issues -- 4.2 Survey Mode (Internet, Face-To-Face, Postal) -- References -- 5 Econometric Modelling: Basics -- 5.1 Coding of Attribute Levels: Effects, Dummy or Continuous -- 5.2 Functional Form of the Attributes in the Utility Function -- 5.3 Econometric Models -- 5.3.1 Multinomial (Conditional) Logit -- 5.3.2 Mixed Logit Models-Random Parameter, Error Component and Latent Class Models -- 5.3.3 G-MXL Model -- 5.3.4 Hybrid Choice Models -- 5.4 Coefficient Distribution in RP-MXL -- 5.5 Specifics for the Cost Attribute -- 5.6 Correlation Between Random Coefficients -- 5.7 Assuring Convergence -- 5.8 Random Draws in RP-MXL -- References -- 6 Econometric Modelling: Extensions -- 6.1 WTP-Space Versus Preference Space -- 6.2 Scale Heterogeneity -- 6.3 Information Processing Strategies -- 6.4 Random Regret Minimisation-An Alternative to Utility Maximisation -- 6.5 Attribute Non-attendance. 6.6 Anchoring and Learning Effects -- References -- 7 Calculating Marginal and Non-marginal Welfare Measures -- 7.1 Calculating Marginal Welfare Measures -- 7.2 Aggregating Welfare Effects -- 7.3 WTP Comparison -- References -- 8 Validity and Reliability -- 8.1 The Three Cs: Content, Construct and Criterion Validity -- 8.2 Testing Reliability -- 8.3 Comparing Models -- 8.3.1 Model Fit-Based Strategies to Choose Among Different Models -- 8.3.2 Cross Validation -- 8.4 Prediction -- References -- 9 Software -- References.
9783030626693
Electronic books.
HC79.E5
338.927
Environmental Valuation with Discrete Choice Experiments : Guidance on Design, Implementation and Data Analysis. - 1st ed. - 1 online resource (136 pages) - SpringerBriefs in Economics Series . - SpringerBriefs in Economics Series .
Intro -- Preface -- References -- Contents -- Abbreviations -- 1 Theoretical Background -- 1.1 Welfare Economics -- 1.2 Random Utility Maximisation Model -- References -- 2 Developing the Questionnaire -- 2.1 Structure of the Questionnaire -- 2.2 Description of the Environmental Good -- 2.3 Survey Pretesting: Focus Groups and Pilot Testing -- 2.4 Incentive Compatibility -- 2.5 Consequentiality -- 2.6 Cheap Talk, Opt-Out Reminder and Oath Script -- 2.7 Instructional Choice Sets -- 2.8 Identifying Protesters -- 2.9 Identifying Strategic Bidders -- 2.10 Payment Vehicle and Cost Vector Design -- References -- 3 Experimental Design -- 3.1 The Dimensionality of a Choice Experiment -- 3.1.1 Number of Choice Tasks -- 3.1.2 Number of Attributes -- 3.1.3 Number of Alternatives -- 3.1.4 Other Dimensionality Issues -- 3.2 Statistical Design of the Choice Tasks -- 3.3 Checking Your Statistical Design -- References -- 4 Collecting the Data -- 4.1 Sampling Issues -- 4.2 Survey Mode (Internet, Face-To-Face, Postal) -- References -- 5 Econometric Modelling: Basics -- 5.1 Coding of Attribute Levels: Effects, Dummy or Continuous -- 5.2 Functional Form of the Attributes in the Utility Function -- 5.3 Econometric Models -- 5.3.1 Multinomial (Conditional) Logit -- 5.3.2 Mixed Logit Models-Random Parameter, Error Component and Latent Class Models -- 5.3.3 G-MXL Model -- 5.3.4 Hybrid Choice Models -- 5.4 Coefficient Distribution in RP-MXL -- 5.5 Specifics for the Cost Attribute -- 5.6 Correlation Between Random Coefficients -- 5.7 Assuring Convergence -- 5.8 Random Draws in RP-MXL -- References -- 6 Econometric Modelling: Extensions -- 6.1 WTP-Space Versus Preference Space -- 6.2 Scale Heterogeneity -- 6.3 Information Processing Strategies -- 6.4 Random Regret Minimisation-An Alternative to Utility Maximisation -- 6.5 Attribute Non-attendance. 6.6 Anchoring and Learning Effects -- References -- 7 Calculating Marginal and Non-marginal Welfare Measures -- 7.1 Calculating Marginal Welfare Measures -- 7.2 Aggregating Welfare Effects -- 7.3 WTP Comparison -- References -- 8 Validity and Reliability -- 8.1 The Three Cs: Content, Construct and Criterion Validity -- 8.2 Testing Reliability -- 8.3 Comparing Models -- 8.3.1 Model Fit-Based Strategies to Choose Among Different Models -- 8.3.2 Cross Validation -- 8.4 Prediction -- References -- 9 Software -- References.
9783030626693
Electronic books.
HC79.E5
338.927