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001 EBC6417118
003 MiAaPQ
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007 cr cnu||||||||
008 231028s2020 xx o ||||0 eng d
020 _a9783030626693
_q(electronic bk.)
020 _z9783030626686
035 _a(MiAaPQ)EBC6417118
035 _a(Au-PeEL)EBL6417118
035 _a(OCoLC)1231607545
040 _aMiAaPQ
_beng
_erda
_epn
_cMiAaPQ
_dMiAaPQ
050 4 _aHC79.E5
082 0 _a338.927
100 1 _aMariel, Petr.
245 1 0 _aEnvironmental Valuation with Discrete Choice Experiments :
_bGuidance on Design, Implementation and Data Analysis.
250 _a1st ed.
264 1 _aCham :
_bSpringer International Publishing AG,
_c2020.
264 4 _c�2021.
300 _a1 online resource (136 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aSpringerBriefs in Economics Series
505 0 _aIntro -- 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.
505 8 _a6.6 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.
588 _aDescription based on publisher supplied metadata and other sources.
590 _aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
655 4 _aElectronic books.
700 1 _aHoyos, David.
700 1 _aMeyerhoff, J�urgen.
700 1 _aCzajkowski, Mikolaj.
700 1 _aDekker, Thijs.
700 1 _aGlenk, Klaus.
700 1 _aJacobsen, Jette Bredahl.
700 1 _aLiebe, Ulf.
700 1 _aOlsen, S�ren B�ye.
700 1 _aSagebiel, Julian.
776 0 8 _iPrint version:
_aMariel, Petr
_tEnvironmental Valuation with Discrete Choice Experiments
_dCham : Springer International Publishing AG,c2020
_z9783030626686
797 2 _aProQuest (Firm)
830 0 _aSpringerBriefs in Economics Series
856 4 0 _uhttps://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=6417118
_zClick to View
942 _2lcc
_cEBK
999 _c323746
_d323746