MPE_QUAM Quantitative Methods in Transport

Ekonomicko-správní fakulta
jaro 2019
Rozsah
0/0/0. 6 kr. Ukončení: zk.
Vyučující
Dr. Andrew Smith (přednášející), Mgr. Hana Fitzová, Ph.D. (zástupce)
Dr. Phill Wheat (přednášející), Mgr. Hana Fitzová, Ph.D. (zástupce)
Mgr. Hana Fitzová, Ph.D. (pomocník)
Ing. Monika Jandová, Ph.D. (pomocník)
Ing. Michal Kvasnička, Ph.D. (pomocník)
Ing. Tomáš Paleta, Ph.D. (pomocník)
Garance
prof. Ing. Zdeněk Tomeš, Ph.D.
Katedra ekonomie – Ekonomicko-správní fakulta
Kontaktní osoba: Mgr. Jarmila Šveňhová
Dodavatelské pracoviště: Katedra ekonomie – Ekonomicko-správní fakulta
Rozvrh seminárních/paralelních skupin
MPE_QUAM/01: Po 11. 3. 10:00–13:50 S313, Út 12. 3. 10:00–13:50 S313, St 13. 3. 10:00–13:50 S313
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Předmět si smí zapsat nejvýše 24 stud.
Momentální stav registrace a zápisu: zapsáno: 0/24, pouze zareg.: 0/24, pouze zareg. s předností (mateřské obory): 0/24
Mateřské obory/plány
Cíle předmětu
This course will introduce students to the economics and econometrics of demand, cost and efficiency analysis, supported by transport / network industry applications. It develops the technical and empirical aspects underpinning some of the more general policy material covered in “European railway policy” (MPE_ERPO).
The first part focuses on empirical analysis of transport demand. This will focus on aggregate demand modelling (as opposed to discrete choice). The importance of robust demand analysis and forecasting from the operator and policy maker perspective will be considered. Then the econometric issues and methods relevant to aggregate demand analysis will be explored. These include appropriate datasets in terms of observations over time/cross section (cross sectional, time series and panel data) and types of units to observe (station to station flows, route level data or operator level data for example), as well as static and dynamic econometric models. A focus of the practical benefit and limitation of each approach will be considered.
The second part shifts the emphasis to cost analysis, covering the economic principles of regulatory and competition policy, econometric cost function analysis, and methods for measuring the relative efficiency of regulated firms and the efficiency impacts of market opening and regulatory reforms.
Výstupy z učení
Students will be able:
- Building on classical demand theory, specify a model for transport demand and evaluate likely omitted factors from transport demand applications
- Understand the policy and operator need for robust demand forecasts
- Evaluate the appropriateness of different data sets for transport demand analysis
- Implement a range of econometric techniques to model aggregate demand data
- Identify the economic principles underlying and the properties of cost/production functions
- Explain the regulatory and competition policy motivation for cost analysis
- Apply econometric techniques to cost/production analysis (e.g. COLS; SFA)
- Determine measurement of the extent of inefficient behaviour of firms
- Understand the links between econometric techniques and policy
Osnova
  • • Theory of demand and how it relates to the challenges in transport
  • • The common datasets available for aggregated transport demand analysis
  • • Econometric techniques appropriate for analysis of aggregate transport demand
  • • Theory and properties of production and cost functions
  • • Approaches to efficiency analysis (COLS; SFA)
  • • Regulatory and competition policy applications of techniques
  • • Practical sessions (using Excel)
Literatura
  • COELLI, Tim. An introduction to efficiency and productivity analysis. 2nd ed. New York: Springer, 2005, xvii, 349. ISBN 0387242651. info
Výukové metody
The course comprises six one and half hour lecture style sessions with practical examples included within. A question set will be given to students to be completed after the course has been delivered. It is expected that submissions will be no more than 2000 words.
Metody hodnocení
A question set will be given to students to be completed after the course has been delivered. It is expected that submissions will be no more than 2000 words.
Vyučovací jazyk
Angličtina
Další komentáře
Studijní materiály
Předmět je vyučován každoročně.
Předmět je zařazen také v obdobích podzim 2016, podzim 2017, podzim 2021.