Consumers’ preferences and choices

General data

Course ID:	2400-SU2TS63
Erasmus code / ISCED:	14.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0311) Economics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Consumers’ preferences and choices
Name in Polish:	Consumers’ preferences and choices
Organizational unit:	Faculty of Economic Sciences
Course groups:
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	English
Type of course:	Master's seminars
Short description:	The course aim is to help each participant prepare MA dissertation devoted to modeling preferences or applying non-market valuation methods. It is oriented towards ambitious, motivated and clever students including those who plan to continue their research and enroll into PhD studies. Note - if the participants cap has been reached and you are a smart, ambitious and hard-working student – contact me to increase the cap for you.
Full description:	The course will cover the following topics: - preparation, submission and grading MA dissertations - data and literature sources - tools and guidelines for editing documents - hypotheses verification - planning a MA dissertation - structure of a MA dissertation Depending on students’ interests, the course will follow selected topics in assumptions of consumer choice, modeling consumer choice, discrete choice experiments, contingent valuation, travel cost or hedonic price methods, econometric methods used for discrete choice modeling, ordered choice modeling and factor analysis, and experimental economics. Note - if the participants cap has been reached and you are a smart, ambitious and hard-working student – contact me to increase the cap for you.
Bibliography:	Selected handouts and papers available online. Handbooks tailored to each student’s scientific interests
Learning outcomes:	The course aim is to help each participant prepare MA dissertation devoted to modeling consumer preferences or applying non-market valuation methods. Students will learn how to formulate hypotheses, verify them, and how to prepare scientific reports. KW01, KW02, KW03, KU01, KU02, KU03, KK01, KK02, KK03
Assessment methods and assessment criteria:	Grading is based on each student’s progress in preparing MA dissertation.

This course is not currently offered.

Course descriptions are protected by copyright.
Copyright by University of Warsaw.