SlideShare a Scribd company logo
1 of 30
Presenter:  Jenny Chen  陳瑩珍 Instructor: Dr. Pi-Ying Teresa Hsu November 12, 2009
[object Object]
Contents   I.  Introduction   II.  Methodology III.  Results IV.  Conclusion V.  Personal Reflection
Introduction ,[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],Revealed Preferences Techniques Stated Preferences Techniques
Purpose ,[object Object]
Study Site
Study Site El Jard í n del T ú ria
Methodology Time spring 2005 Participants 1455 Sampling stratified Payment Vehicle annual increase in local taxes Elicitation Approach open-ended Survey face-to face interview
Methodology
Methodology First Section ,[object Object],[object Object],Third Section ,[object Object],Second Section ,[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methodology Zero WTP preference unfamiliarity
Methodology Ordinary Least-Square Regressions biased and inconsistent estimates of the parameters
Methodology ,[object Object],[object Object],[object Object],Tobit Model
Methodology ,[object Object],[object Object],[object Object],Double-Hurdle Model
Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Double-Hurdle Model
Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methodology Probit Model to evaluate the  censoring rule ( Z i  θ ) Truncated Regression Model to obtain the bid function ( X i   β ) for the subsample of censored observations
Results
Results ,[object Object],[object Object],[object Object],[object Object],×  relative surface (26.76%) <  7.60 €
Results
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Reject H 0
Results
Results ,[object Object]
Conclusion ,[object Object],[object Object],[object Object],[object Object]
Personal Reflection ,[object Object],[object Object],[object Object],[object Object]
Thank you for your attention!

More Related Content

Viewers also liked

質化研究 Study Group 7
質化研究 Study Group 7質化研究 Study Group 7
質化研究 Study Group 7
Jenny Chen
 
質化研究 Study Group 2
質化研究 Study Group 2質化研究 Study Group 2
質化研究 Study Group 2
Jenny Chen
 
Final Report_Mock Project_Team5
Final Report_Mock Project_Team5Final Report_Mock Project_Team5
Final Report_Mock Project_Team5
Xiaojiao Zang
 
Airport Capacity and the case of a new London Airport
Airport Capacity and the case of a new London AirportAirport Capacity and the case of a new London Airport
Airport Capacity and the case of a new London Airport
Andreas Mavrodis
 
電子商務溝通 – 期中考
電子商務溝通 – 期中考電子商務溝通 – 期中考
電子商務溝通 – 期中考
Jenny Chen
 
休閒管理專題 – 期末考
休閒管理專題 – 期末考休閒管理專題 – 期末考
休閒管理專題 – 期末考
Jenny Chen
 
Oral Presentation Ii
Oral Presentation IiOral Presentation Ii
Oral Presentation Ii
Jenny Chen
 
老街觀光休閒產業
老街觀光休閒產業老街觀光休閒產業
老街觀光休閒產業
Jenny Chen
 
Thesis Writing IV - Oral 1
Thesis Writing IV - Oral 1Thesis Writing IV - Oral 1
Thesis Writing IV - Oral 1
Jenny Chen
 
Proposal Defense Presentation
Proposal  Defense  PresentationProposal  Defense  Presentation
Proposal Defense Presentation
Jenny Chen
 

Viewers also liked (20)

質化研究 Study Group 7
質化研究 Study Group 7質化研究 Study Group 7
質化研究 Study Group 7
 
質化研究 Study Group 2
質化研究 Study Group 2質化研究 Study Group 2
質化研究 Study Group 2
 
Zoppi & Lai - Input2012
Zoppi & Lai - Input2012Zoppi & Lai - Input2012
Zoppi & Lai - Input2012
 
Final Report_Mock Project_Team5
Final Report_Mock Project_Team5Final Report_Mock Project_Team5
Final Report_Mock Project_Team5
 
02. predicting financial distress logit mode jones
02. predicting financial distress logit mode jones02. predicting financial distress logit mode jones
02. predicting financial distress logit mode jones
 
Choice Models
Choice ModelsChoice Models
Choice Models
 
Airport Capacity and the case of a new London Airport
Airport Capacity and the case of a new London AirportAirport Capacity and the case of a new London Airport
Airport Capacity and the case of a new London Airport
 
A. Zolubas - Verslo Finansavimo Etapai Verslo pradžioje
A. Zolubas - Verslo Finansavimo Etapai Verslo pradžiojeA. Zolubas - Verslo Finansavimo Etapai Verslo pradžioje
A. Zolubas - Verslo Finansavimo Etapai Verslo pradžioje
 
OCC Vilnius - Idejos
OCC Vilnius - IdejosOCC Vilnius - Idejos
OCC Vilnius - Idejos
 
電子商務溝通 – 期中考
電子商務溝通 – 期中考電子商務溝通 – 期中考
電子商務溝通 – 期中考
 
R. Tamosiunas - Rizikos Kapitalo Fondai Lietuvoje
R. Tamosiunas - Rizikos Kapitalo Fondai LietuvojeR. Tamosiunas - Rizikos Kapitalo Fondai Lietuvoje
R. Tamosiunas - Rizikos Kapitalo Fondai Lietuvoje
 
Final defense
Final defenseFinal defense
Final defense
 
休閒管理專題 – 期末考
休閒管理專題 – 期末考休閒管理專題 – 期末考
休閒管理專題 – 期末考
 
Oral Presentation Ii
Oral Presentation IiOral Presentation Ii
Oral Presentation Ii
 
老街觀光休閒產業
老街觀光休閒產業老街觀光休閒產業
老街觀光休閒產業
 
Thesis Writing IV - Oral 1
Thesis Writing IV - Oral 1Thesis Writing IV - Oral 1
Thesis Writing IV - Oral 1
 
Northtown Pristatymas
Northtown PristatymasNorthtown Pristatymas
Northtown Pristatymas
 
R.Jasinavicius - Kaip Parduoti Ideja
R.Jasinavicius - Kaip Parduoti IdejaR.Jasinavicius - Kaip Parduoti Ideja
R.Jasinavicius - Kaip Parduoti Ideja
 
Determinants of households' investment in EE and RE
Determinants of households' investment in EE and REDeterminants of households' investment in EE and RE
Determinants of households' investment in EE and RE
 
Proposal Defense Presentation
Proposal  Defense  PresentationProposal  Defense  Presentation
Proposal Defense Presentation
 

Similar to Oral Presentation II

1PPA 670 Public Policy AnalysisBasic Policy Terms an.docx
1PPA 670 Public Policy AnalysisBasic Policy Terms an.docx1PPA 670 Public Policy AnalysisBasic Policy Terms an.docx
1PPA 670 Public Policy AnalysisBasic Policy Terms an.docx
felicidaddinwoodie
 
Dissertation Defense_Md Sakoat Hossan
Dissertation Defense_Md Sakoat HossanDissertation Defense_Md Sakoat Hossan
Dissertation Defense_Md Sakoat Hossan
Md.Sakoat Hossan
 

Similar to Oral Presentation II (20)

Presentation on quantitative methods for valuaing the environment farah (roll...
Presentation on quantitative methods for valuaing the environment farah (roll...Presentation on quantitative methods for valuaing the environment farah (roll...
Presentation on quantitative methods for valuaing the environment farah (roll...
 
Additive Smoothing for Relevance-Based Language Modelling of Recommender Syst...
Additive Smoothing for Relevance-Based Language Modelling of Recommender Syst...Additive Smoothing for Relevance-Based Language Modelling of Recommender Syst...
Additive Smoothing for Relevance-Based Language Modelling of Recommender Syst...
 
Managerial Economics - Demand Estimation (regression analysis)
Managerial Economics - Demand Estimation (regression analysis)Managerial Economics - Demand Estimation (regression analysis)
Managerial Economics - Demand Estimation (regression analysis)
 
Evaluating factors WTP freight transportation crossing the Pyrenees- EWGT-201...
Evaluating factors WTP freight transportation crossing the Pyrenees- EWGT-201...Evaluating factors WTP freight transportation crossing the Pyrenees- EWGT-201...
Evaluating factors WTP freight transportation crossing the Pyrenees- EWGT-201...
 
Demand estimation and forecasting
Demand estimation and forecastingDemand estimation and forecasting
Demand estimation and forecasting
 
Goodness–of–fit tests for regression models: the functional data case
Goodness–of–fit tests for regression models: the functional data caseGoodness–of–fit tests for regression models: the functional data case
Goodness–of–fit tests for regression models: the functional data case
 
Adaptive Machine Learning for Credit Card Fraud Detection
Adaptive Machine Learning for Credit Card Fraud DetectionAdaptive Machine Learning for Credit Card Fraud Detection
Adaptive Machine Learning for Credit Card Fraud Detection
 
1PPA 670 Public Policy AnalysisBasic Policy Terms an.docx
1PPA 670 Public Policy AnalysisBasic Policy Terms an.docx1PPA 670 Public Policy AnalysisBasic Policy Terms an.docx
1PPA 670 Public Policy AnalysisBasic Policy Terms an.docx
 
#2ECcourse.ppthjjkhkjhkjhjkjhkhhkhkhkhkj
#2ECcourse.ppthjjkhkjhkjhjkjhkhhkhkhkhkj#2ECcourse.ppthjjkhkjhkjhjkjhkhhkhkhkhkj
#2ECcourse.ppthjjkhkjhkjhjkjhkhhkhkhkhkj
 
#2ECcourse.pptgjdgjgfjgfjhkhkjkkjhkhkhkjhjkj
#2ECcourse.pptgjdgjgfjgfjhkhkjkkjhkhkhkjhjkj#2ECcourse.pptgjdgjgfjgfjhkhkjkkjhkhkhkjhjkj
#2ECcourse.pptgjdgjgfjgfjhkhkjkkjhkhkhkjhjkj
 
Managerial Economics (Chapter 5 - Demand Estimation)
 Managerial Economics (Chapter 5 - Demand Estimation) Managerial Economics (Chapter 5 - Demand Estimation)
Managerial Economics (Chapter 5 - Demand Estimation)
 
Chapter 6 valuation of environmental resources copy
Chapter 6 valuation of environmental resources   copyChapter 6 valuation of environmental resources   copy
Chapter 6 valuation of environmental resources copy
 
DATA COLLECTION IN RESEARCH
DATA COLLECTION IN RESEARCHDATA COLLECTION IN RESEARCH
DATA COLLECTION IN RESEARCH
 
Dissertation Defense_Md Sakoat Hossan
Dissertation Defense_Md Sakoat HossanDissertation Defense_Md Sakoat Hossan
Dissertation Defense_Md Sakoat Hossan
 
Método Topsis - multiple decision makers
Método Topsis  - multiple decision makersMétodo Topsis  - multiple decision makers
Método Topsis - multiple decision makers
 
SMART Seminar Series: Formal Models of Social Processes
SMART Seminar Series: Formal Models of Social ProcessesSMART Seminar Series: Formal Models of Social Processes
SMART Seminar Series: Formal Models of Social Processes
 
A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Bi...
A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Bi...A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Bi...
A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Bi...
 
Analyzing experimental research data
Analyzing experimental research dataAnalyzing experimental research data
Analyzing experimental research data
 
Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...
Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...
Brian J King - Thesis Defense Presentation (Prior to giving) - Commercial Med...
 
About functional SIR
About functional SIRAbout functional SIR
About functional SIR
 

More from Jenny Chen

Proposal Defense (Final)
Proposal Defense (Final)Proposal Defense (Final)
Proposal Defense (Final)
Jenny Chen
 
Oral Presentation 1(Research Writing and Publishing III)
Oral Presentation 1(Research Writing and Publishing III)Oral Presentation 1(Research Writing and Publishing III)
Oral Presentation 1(Research Writing and Publishing III)
Jenny Chen
 
Proposal Defense Oral Presentation
Proposal Defense Oral PresentationProposal Defense Oral Presentation
Proposal Defense Oral Presentation
Jenny Chen
 
Research Method - Oral Presentation I I (Quantitative Research)
Research Method - Oral Presentation I I (Quantitative Research)Research Method - Oral Presentation I I (Quantitative Research)
Research Method - Oral Presentation I I (Quantitative Research)
Jenny Chen
 
Final Oral Presentation
Final Oral PresentationFinal Oral Presentation
Final Oral Presentation
Jenny Chen
 
Speaking Lesson Plan – In A Pub
Speaking Lesson Plan – In A PubSpeaking Lesson Plan – In A Pub
Speaking Lesson Plan – In A Pub
Jenny Chen
 
Research Writing and Publishing I - Oral Presentation 2
Research Writing and Publishing I - Oral Presentation 2Research Writing and Publishing I - Oral Presentation 2
Research Writing and Publishing I - Oral Presentation 2
Jenny Chen
 

More from Jenny Chen (7)

Proposal Defense (Final)
Proposal Defense (Final)Proposal Defense (Final)
Proposal Defense (Final)
 
Oral Presentation 1(Research Writing and Publishing III)
Oral Presentation 1(Research Writing and Publishing III)Oral Presentation 1(Research Writing and Publishing III)
Oral Presentation 1(Research Writing and Publishing III)
 
Proposal Defense Oral Presentation
Proposal Defense Oral PresentationProposal Defense Oral Presentation
Proposal Defense Oral Presentation
 
Research Method - Oral Presentation I I (Quantitative Research)
Research Method - Oral Presentation I I (Quantitative Research)Research Method - Oral Presentation I I (Quantitative Research)
Research Method - Oral Presentation I I (Quantitative Research)
 
Final Oral Presentation
Final Oral PresentationFinal Oral Presentation
Final Oral Presentation
 
Speaking Lesson Plan – In A Pub
Speaking Lesson Plan – In A PubSpeaking Lesson Plan – In A Pub
Speaking Lesson Plan – In A Pub
 
Research Writing and Publishing I - Oral Presentation 2
Research Writing and Publishing I - Oral Presentation 2Research Writing and Publishing I - Oral Presentation 2
Research Writing and Publishing I - Oral Presentation 2
 

Recently uploaded

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

Oral Presentation II