Omfattning: 6

Tidtabel: 14.04.2020 - 28.05.2020

Ansvarslärare (är i kraft 01.08.2018-31.07.2020): 

Timo Kuosmanen

Kontaktuppgifter till kursens personal (gäller denna kursomgång): 

Since this is an online course, students are encouraged to post questions to the discussion Forum of this website. General questions about the course should be sent by email to Professor Kuosmanen. Questions concerning the R and GAMS tutorials should be addressed to the
teaching assistant Sheng Dai.

Undervisningsperiod (är i kraft 01.08.2018-31.07.2020): 

Not lectured in 2018-2019

V Spring (2019-2020) Otaniemi campus

Lärandemål (är i kraft 01.08.2018-31.07.2020): 

Developing thorough understanding of the modern methodology of frontier estimation and efficiency analysis, and ability to apply the state-of-the-art estimation techniques to empirical data.

Innehåll (är i kraft 01.08.2018-31.07.2020): 

Topics covered in the course will include basic concepts related to the measurement of efficiency and productivity (criteria, objectives, dominance, efficiency, productivity, etc.). Classic data envelopment analysis (DEA) and stochastic frontier analysis (SFA) techniques will be discussed during the course, together with the modern nonparametric regression techniques. Topics of the course also include the estimation of contextual variables that affect efficiency.

Metoder, arbetssätt och bedömningsgrunder (är i kraft 01.08.2018-31.07.2020): 

100 % term paper

Närmare information om bedömningsgrunderna och -metoderna och om hur den studerande kan ta del av bedömningen (gäller denna kursomgång): 

Assessment is mainly based on a student project. The
purpose of the student project is to gain some hands on experience of applying
approaches and methods learned during the course to an empirical case of your
choice. The student project can be done alone, or in groups of 2-3 students. Choose
a topic or empirical issue that is interesting for you. A topic that falls
within the scope of your M.Sc. thesis or Ph.D. project is presumably
interesting, and has an added advantage that you are likely to produce material
that can be later useful for your thesis work. Other courses and journal
articles also provide sources of potential topics.

Student
projects will be presented in one of the two workshops in 26 and 28 May.
Further instructions will be provided in due course on the course website.

Each
student project is described in more detail in a written report referred to as
the term paper. The paper should be
written in English, in a good academic style, following the standard style of any
research paper or working paper. The table of contents or the lists of figures
or tables are not required. It is important to explain the methods and
interpret the results, and pay careful attention to the presentation of
results. It is recommended to use figures and tables, but keep in mind that too
much information kills the information.

In
grading, the main emphasis is in the clear description and motivation of the
methods used, and their appropriateness for the tasks at hand. The novelty of
the topic, approach, or data can be a (big) plus, but they are relatively less
important for a term paper. For example, a decent term paper might be just a
direct replication of a previously reported empirical study with a new set of
data and/or methods.

Arbetsmängd (är i kraft 01.08.2018-31.07.2020): 

Lectures 30 h
Independent work 130 h
Total 160 h (6 ECTS)

Studiematerial (är i kraft 01.08.2018-31.07.2020): 

Lecture notes and additional material are provided on the course website.

The following textbooks may be used as supplementary study material:
Coelli, T., D. Prasada Rao, G.E. Battese. (1998) An introduction to efficiency and productivity analysis. ISBN 0792380606

Närmare information om kursmaterial (gäller denna kursomgång): 

There will be video lectures on 8 themes.

Additional reading related to each theme will be posted on the section "For Aalto Users".

Kursens webbplats (är i kraft 01.08.2018-31.07.2020): 

https://mycourses.aalto.fi/course/search.php?search=30E00300

Förkunskaper (är i kraft 01.08.2018-31.07.2020): 

Recommended 30C00200 Econometrics.

Bedömningsskala (är i kraft 01.08.2018-31.07.2020): 

0-5

Anmälning (är i kraft 01.08.2018-31.07.2020): 

via WebOodi

Närmare information om tidtabellen (gäller denna kursomgång): 

Video lectures and software tutorials will be uploaded on the course website as soon as those are ready.

Online assignments (questions) will be due according to the previously announced schedule of lectures.

The webinar presentations of the student projects will take place in 26th and 28th of May (at 9-12).

The final report of the student project is due in 15th of June.

Beskrivning

Anmälning och tillläggsinformation