Economics B100:1, 15 Credits

Contents

Module 1: Tools and methods for economists, 7.5ECTS
The main objective of this module is to give the student a fundamental understanding of methods for economists, theoretical as well as practical. Ethical aspects in research are included.

The methods that are presented during the module may be divided into two parts - mathematics and econometrics. During the first part of the module we discuss and apply concepts and methods in mathematics that are useful for theoretical work within economics as well as econometrics. Examples of such notions and methods are functional forms, systems of equations, logarithms, derivatives and optimization. Then, the module transitions into discussing econometrics where the focus is notions, interpretation and practical usage of the classical regression model (OLS). The econometric tools under discussion are also motivated theoretically.

The main focus is on OLS, but other methods are discussed and applied to handle econometric problems related mainly to types of variable and data. Examples are binary dependent variables and time series data. During the model we work with actual data material and presentation of results.

Module 2: Industrial Economics, 7.5 ECTS
The objective of the module is to give the students a good understanding of how firms and markets are organized and how firms and markets interact. The module introduces less simplistic and more realistic models of firms and markets than used on the introductory courses and gives the students theoretical and emprical knowledge regarding the consequences of monopoly, oligopoly, price discrimination, produc differentiation, cooperation, cartels, entry and exit and strategic behaviour.

The starting point for the analysis is the existence of frictions as information asymmetries, transaction costs, menu costs and entry barriers. The module discusses how the firms are organized and how firms compete given these kinds of frictions.
 
The econometric part of the course is based on the methods from the previous module with relevant application for industrial economics.

Expected learning outcomes

Module 1: Tools and methods for economists, 7.5ECTS
Upon completing this module, students should be able to:

1. Apply methods relevant for economists.
2. Apply different functional forms, differentiate and optimize functions.
3. Describe and explain the theoretical foundation for the classical regression model estimated by the method of ordinary least squares (OLS).
4. Evaluate and understand limitations of the classical regression model (OLS).
5. Using OLS as a starting point, discuss and apply methods for handling econometric problems and different types of variables and data.
6. Apply relevant methods on different types of data, and show awareness for issues related to research ethics.
7. Communicate conclusions drawn from scientific studies to different types audiences in a clear and pedagogic way.

Module 2: Industrial Economics, 7.5ECTS
Upon completing this module, students should be able to:

1. Explain central concepts within the subject as price elasticity, firms cost structure, measures of market power and market concentration ect.
2. Derive and explain the a representative firm's profit maximization decision in the short-run as well as the long-run given different market structures, and explain to the welfare consequences of the profit maximization.
3. Explain how different market structures can arise and how welfare may differ depending on the market structure, including vertical and horizontal integration and cartels.
4. Explain product differentiation, price discrimination, strategic behaviour and the how these aspects affects welfare.
5. Derive and understand the economical implication of the first- and second order conditions for profit maximization.
6. Apply econometric methods, as regression analysis, to answer empirical questions on data relevant for industrial economics.

Required Knowledge

Economics A100, 30 ECTS or equivalent.

Form of instruction

The education is given in form of lectures, group sessions, video lectures and seminars.

Examination modes

The examination consists of written examinations at the end of each module, assignments and seminars.

The results from assignments and seminars are only valid during the current semester. Students not having a Pass on assignments or seminars will be given an additional corresponding examination opportunity, within the scope of the given module.

A second exam opportunity is always offered within a short time span after the regular exam date for those students not achieving a Pass, except Module 4 during spring semesters. The subsequent exam opportunity is either the re-take opportunity the week before the fall semester or the next regular exam date.

The following grading system will be used: Pass with Distinction (Väl Godkänd), Pass (Godkänd) or Fail (Underkänd). A grades on the course is awarded when the student has passed all examinations and compulsory course elements on all four modules. The grade Pass with Distinction on the course requires the grade Pass with Distinction on at least three out of four modules.

It is normally not possible to make additional examinations to reach a higher grade. Exceptions can be made for a student with the grade Fail on any of the examinations if the examiner (not the lecturer) finds this appropriate. The task must be a minor undertaking, closely related to the learning outcome not reached, and performed in close proximity to the original examination.

When a student has failed an examination on two occasions, he or she has the right to ask for another examiner. A written request for an alternative examiner should be handed to the Director of Studies no later than two weeks before the next examination opportunity.

Exceptions from examination form as stated in the syllabus can be made for a student who has a decision on pedagogical support for disabilities. Individual adaptations of the examination form should be considered based on the student's needs. The examination form shall be adapted within the framework of the expected learning outcomes stated in the course syllabus. At the request of the student, the course responsible teacher, in consultation with the examiner, must promptly decide on the adapted examination form. The decision must then be notified to the student.