Modelling Consumer Preferences for Environmental Goods
Informacje ogólne
Kod przedmiotu: | 2400-ZEWW830 |
Kod Erasmus / ISCED: |
14.3
|
Nazwa przedmiotu: | Modelling Consumer Preferences for Environmental Goods |
Jednostka: | Wydział Nauk Ekonomicznych |
Grupy: |
Anglojęzyczna oferta zajęć WNE UW Przedmioty kierunkowe dla Data Science Przedmioty kierunkowe do wyboru - studia II stopnia EP - grupa 4 (1*30h) Przedmioty kierunkowe do wyboru- studia I stopnia EP Przedmioty wyboru kierunkowego dla studiów licencjackich FIM |
Punkty ECTS i inne: |
(brak)
|
Język prowadzenia: | angielski |
Rodzaj przedmiotu: | nieobowiązkowe |
Skrócony opis: |
(tylko po angielsku) This class will provide necessary tools to evaluate non-market goods and to show explicitly the level of scarcity for environmental goods and services as well as how costly can be their depredation. This course will apply statistical and econometric techniques to estimate non-market values which are the widely accepted means of measuring the economic value of environmental and natural resources. Students will learn to estimate demand function and willingness to pay (WTP) for environmental goods and services. The statistical package used in this tutorial is R. |
Pełny opis: |
(tylko po angielsku) 1. Outline, organization and grading. Introduction: The nature of value 2. Demand and welfare theory 3. Methods of Environmental Valuation 4. Introduction to R 5. Classical Linear Regression Model 6. Revealed Preference Methods (RP) of Valuation 7. RP - Travel Cost Method 8. RP - Hedonic Property Prices Method and Hedonic Wages Model 9. Stated preference methods 10. Logit Model Introduction 11. Contingent Valuation 12. Models for multinomial choice. 13. Designing Choice Experiments 14. Analyzing data from Choice Experiments 15. Overview of other valuation methods. |
Literatura: |
(tylko po angielsku) There is no required textbook for this course; lecture notes and supplementary material will be provided. However, for students who are interested in Environmental Valuation field and want to study more deeply some topics, I would recommend the following textbooks: 1. Champ, P. A, Boyle, K. J., Brown, T. C. (2017). A Primer on Nonmarket Valuation (The Economics of Non-Market Goods and Resources) 2nd ed. Springer; 2nd ed. 2. Haab, T., & McConnell, K. (2002). Valuing environmental and natural resources: The econometrics of non-market valuation (New horizons in environmental economics). Cheltenham, UK; Northampton, MA: Edward Elgar. 3. Freeman III, M. A., The Measurement of Environmental and Resource Values: Theory and Methods 3rd Edition. Routledge; 3rd edition. |
Efekty uczenia się: |
(tylko po angielsku) Completing the course allows participants to familiarize with methods and tools of microeconometrics – both theoretically and in practice. The course provides a baseline for using the microeconometric analysis in practice (building a model, estimation, interpretation of the results) and self-teaching the many extensions in the context of environmental economics problems. |
Metody i kryteria oceniania: |
(tylko po angielsku) Completing the course is based on homework assignments – econometric analysis problems requiring applying the methods introduced in class (50%) and a term paper (50%). 1. Completing the course is based on the results of home assignments (50%) and a term paper (50%). result = 0.5*(percentage term paper)+0.5*(percentage home assignments) 2. The final grade is calculated using the following formula: according to the following grading scale: result (%) grade < 50-60) 3 < 60-70) 3.5 < 70-80) 4 < 80-90) 4.5 < 90-100) 5 < 100 5! 3. Home assignments consist of solving data analysis. Solutions are verified and the most common mistakes are reviewed in class. 4. The term paper is an empirical application of topics learned throughout the semester to value a natural resource. Each group (maximum of 2 persons) will choose a suitable topic that can be achieved. The paper must be written in English and in academic style. It is important to properly establish the problem, the objective, the contribution and demonstrate the ability to analyze and interpret the results. Further instructions will be provided during the semester about the term paper. 5. Attendance is not a requirement for completing the course. 6. All students are subject to the same exam schedule (final and retake). There are no other possibilities to take the exam and complete the course (unless by the Dean’s decision). 7. Missing any of the exams is equivalent of failing it (the ‘NK’ grade). 8. We enforce the department’s ‘Zero tolerance for cheating’ rules. |
Właścicielem praw autorskich jest Uniwersytet Warszawski.