Position: Ph.D. Candidate
Field of interest: Behavioral Economics, Experimental Economics, Field Experiments
Membership: Institutional Economics, PhD Candidates
Contact
Office: 602
Email: kchadimova [AT] gmail [DOT] com
Phone:
Available: by appointment
More information
PhD study
Tutor: doc. PhDr. Julie Chytilová Ph.D.
Studying from: 2017
PhDr examination:
Final exam:
Dissertation Proposal defence: 11/2021 (expected)
Dissertation defence: 05/2022 (expected)
Current work:
Currently working on my first paper on the application of behavioral economics in the Czech public sphere.
Dissertation topic:
Behavioral economics in the public sphere
Disertation abstract:
Optional courses:
CV
Education
2020/07+ Wirtschaftsuniversität Wien, research stay
2017+ Ph.D., IES FSV UK, Economics and Finance
2019/10-12 The Eitan Berglas School of Economics, Tel Aviv
2019/03: Rady School of Management, UC San Diego
2014-2017: M.A., IES FSV UK, Economics
2015: Erasmus+, University of Helsinki, Finland
2011-2014: B.A., IES FSV UK, Economics
Job history
2017+ Health Economics Analyst, Value Outcomes
2017+ Health Economics Analyst, iHETA
2016-2017 Statistician/analyst, Ipsos
2014-2015 Global Strategic Pricing Intern, Sanofi
Teaching Assistant:
2020 SS Environmental Economics
2020 SS Microeconomics I
2019 WS Microeconomics II
2019 SS Microeconomics I
2019 SS Behavioral Economics (University of Economics, Prague)
2018 WS Microeconomics II (2x TA)
2018 SS Microeconomics I
Extra activities
Europaeum Scholars Programme (2020/21)
TAČR ÉTA 3 č. TL03000252, co-researcher
GAUK grant č. 1372519, principal researcher
GAUK grant č. 848217, co-researcher
Awards and prizes
06/2017 graduating summa cum laude
06/2014 B.A. with distinction from the Dean of the Faculty of Social Sciences for an extraordinarily good bachelors diploma thesis
Topics for supervision
Bachelor theses
Topics related to behavioral and experimental economics. Students are welcome to specify the topic on their own.
Master theses
Topics related to behavioral and experimental economics. Students are welcome to specify the topic on their own.
Supervised Master Theses
all/awarded: 1/0
Awarded:
