Microeconometrics
Study Board of Market and Management Anthropology, Economics, Mathematics-Economics, Environmental and Resource Management
Teaching language: English
EKA: B560012112, B560012122
Censorship: Second examiner: None
Grading: 7-point grading scale
Offered in: Odense
Offered in: Autumn
Level: Master
Course ID: B560012101
ECTS value: 10
Date of Approval: 19-02-2018
Duration: 1 semester
Course ID
Course Title
Teaching language
ECTS value
Responsible study board
Study Board of Market and Management Anthropology, Economics, Mathematics-Economics, Environmental and Resource Management
Date of Approval
Course Responsible
Offered in
Level
Offered in
Duration
Mandatory prerequisites
Recommended prerequisites
Students taking the course are expected to have theoretical and practical knowledge of:
1. Statistics and probability
- Distribution functions for discrete and continuous processes
- Hypothesis testing (t-test, F-test)
- Joint, conditional and marginal distribution functions
- Expectation and conditional expectation
- Variance and conditional variance
2. Matrix algebra
All the basics needed for the course are very well reviewed in prof. Tarr’s slides which can be downloaded here: http://garthtarr.com/wp-content/uploads/2013/08/Matrix_Algebra.pdf
3. Econometrics
- The multivariate linear regression model and Ordinary Least Square (OLS).
- Basic knowledge of maximum likelihood estimation: likelihood function, consistency, etc.
- Basic knowledge of logit and probit models: fitting, marginal effects,
- Basic knowledge of panel data models for linear data: first difference, fixed effects vs. random effects
4. Computer skills applied to the topics above.
Aim and purpose
The purpose of this course is to provide the students with a throughout knowledge and understanding of advanced econometric methods for cross section and panel data, while providing them with skills to apply these methods to empirical problems in economics. Students will qualify to compete in the labor market or in academic positions with students of similar qualification from other Danish universities.
Content
The course will cover the following topics:
•Introduction to microeconometrics and causality.
•Linear models.
•Non-linear models.
•Panel data models.
•Non-parametric estimation.
•Identification and estimation of Causal Effects.
Learning goals
To fulfil the purposes of the course the student must be able to:
Demonstrate knowledge about the course’s focus areas enabling the student to:
•Describe and explain the assumptions underlying the different methods/models.
•Describe and explain how the different models are estimated.
•Describe and explain the difference between correlation and causation.
Demonstrate skills, such that the student is able to:
•Apply the models on a given problem/data set using the software R.
•Explain how the estimation results can be interpreted.
•Explain and critically discuss applications of the models in the literature.
•Describe the assumptions needed for a causal interpretation.
Demonstrate competences, such that the student is able to:
•Explain and discuss to which kind of problems the different models can be applied.
•Critically choose between different models to analyse a given problem/data set.
•Critically judge the plausibility of the assumptions imposed by each of the models.
•Critically distinguish between testable and non-testable assumptions.
Description of outcome - Knowledge
Description of outcome - Competences
Literature
Examples
The suggested textbook is
Wooldridge, Jeffrey M. (2010), "Econometric Analysis of Cross Section and Panel Data", MIT Press, second edition.
(Supplementary) Li, Qi, and Jeffrey Scott Racine, Nonparametric Econometrics: Theory and Practice, Princeton University Press.
The course may use additional material if necessary.
Teaching Method
Workload
These teaching activities result in an estimated distribution of the work effort of an average student as follows:
Face-to-face teaching - 45 hours.
Assignments and exercise classes - 50 hours
Preparation of student teacher's lessons - 116 hours
Examination preparation - 35 hours
Examination - 24 hours
Total 270 hours.
Examination regulations
Individual written exam
Name
Individual written exam
Timing
Exam: November/December
Reexam: February.
Tests
Exam
Name
Exam
Form of examination
Written examination on premises
Censorship
Second examiner: None
Grading
7-point grading scale
Identification
Student Identification Card - Exam number
Language
English
Duration
3 hours.
Length
No limitations.
Examination aids
All exam aids are allowed. However, it is not allowed to communicate with anybody.
Assignment handover
In the examination room.
Assignment handin
Via SDUassignment in the course page in Blackboard.
ECTS value
5
Additional information
The examination consists of 2 parts; the final grade is computed as follows:
1. Individual written exam (weight 50%)
2. Take-home assignment in groups of 3 (weight 50%).
Part 1: Individual written exam.
Location: Examination room at the university. Examination takes place using student's own computer being able to access the university wireless network.
Internet Access: Necessary.
EKA
B560012112
Take-home assignment
Name
Take-home assignment
Timing
Exam: January
Reexam: February
Tests
Exam
Name
Exam
Form of examination
Take-home assignment
Censorship
Second examiner: None
Grading
7-point grading scale
Identification
Student Identification Card - Exam number
Language
English
Duration
One week (including weekend). Date for submission will appear from the examination plan.
Length
Page limitations will be clear in the exam paper.
Examination aids
All exam aids allowed.
Assignment handover
Course page in Blackboard.
Assignment handin
Via SDUassignment in the course page in Blackboard.
ECTS value
5
Additional information
The examination consists of 2 parts; the final grade is computed as follows:
1. Individual written exam (weight 50%)
2. Take-home assignment in groups of 3 (weight 50%).
Part 2: Take-home assignment (January).
May be solved in groups of 3 students.
Duration: One week (including weekend). Date for submission will appear from the examination plan.
Location: Home assignment.
Internet Access: Necessary.
EKA
B560012122
External comment
NOTE - This course is identical with the former course 8902921 Microeconometrics.
Used examination attempts in the former identical course will be transferred.
Courses that are identical with former courses that are passed according to applied rules cannot be retaken.
The student is automatically registered for the first examination attempt when the student is registered for a course or course element with which one or more examinations are associated. Withdrawal of registration is not possible, and students who fail to participate in an examination have used one examination attempt, unless the University has made an exemption due to special circumstances.
If a student does not meet the established university prerequisites for taking the exam, he or she has used one examination attempt, unless the University has made an exemption due to special circumstances.
The student is responsible for registering for 2nd and 3rd examination attempt.
Evaluation at the re-exam may be changed.