Position: Ph.D. Candidate
Field of interest: Econometrics, Microeconometrics, Demand analysis, Household Behavior
Membership: Microeconomics and Mathematical Methods, PhD Candidates
Contact
Office: IES 602
Email: sarlota [DOT] smutna [AT] gmail [DOT] com
Phone: contact me via email
Personal web pages: http://ies.fsv.cuni.cz/en/staff/smutna
Available: Upon agreement
More information
PhD study
Tutor: Mgr. Milan Ščasný PhD.
Studying from: 2016
PhDr examination:
Final exam:
Dissertation Proposal defence: expected in 2020
Dissertation defence: expected in 2020
Current work:
Working on "Selectivity problem in demand analysis: single equation approach."
Dissertation topic:
Coherent demand system dealing with selectivity: the case of Czech Republic
Disertation abstract:
Optional courses:
2017/2018 SS: JED110 Alternative Approaches to Economic Modeling
2017/2018 WS: JED109 Alternative Approaches to Economic Modeling
2016/2017 SS: JED110 Alternative Approaches to Economic Modeling
2016/2017 WS: JED109 Alternative Approaches to Economic Modeling
CV
Education
2016 - onwards: PhD in Economics, IES FSV UK
2013 - 2016: Master in Economics, specialization Economic Theory, thesis topic: Household food demand in the Czech Republic: coherent demand system dealing with selectivity, IES FSV UK
2013 - 2014: Master in Econometrics, thesis topic: Food demand elasticity: dealing with zero observations, Faculty of Economics and Business, University of Amsterdam
2015 - 2017: Ing. in Food quality and security, Faculty of Food and Biochemical Technology, University of Chemistry and Technology Prague
Job history
Teaching assistantship:
JEB 132 Introductory Statistics: SS 2014/2015, 2015/2016, 2016/2017, 2017/2018
JEB 105 Statistics: WS 2016/2017, 2017/2018
JEB 108 Microeconomics II: WS 2017/2018017
Topics for supervision
Bachelor theses
I suggest any topic in the field of applied econometrics, especially microeconometrics and consumer demand analysis.
Master theses
I suggest any topic in the field of applied econometrics, especially microeconometrics and consumer demand analysis.
