Microeconometrics

Study Board of Market and Management Anthropology, Economics, Mathematics-Economics, Environmental and Resource Management

Teaching language: English
EKA: B560012122, B560012112
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:


Duration: 1 semester

Course ID

B560012101

Course Title

Microeconometrics

Teaching language

English

ECTS value

10

Responsible study board

Study Board of Market and Management Anthropology, Economics, Mathematics-Economics, Environmental and Resource Management

Course Responsible

Name Email Department
Giovanni Mellace giome@sam.sdu.dk

Offered in

Odense

Level

Master

Offered in

Autumn

Duration

1 semester

Mandatory prerequisites

None.

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:

Description of outcome - Knowledge

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.

Description of outcome - Skills

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. 

Description of outcome - Competences

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.

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

Scheduled classes:
3 hours of lectures weekly for 15 weeks.
2 hours of exercises every other week. 

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

Take-home assignment

Name

Take-home assignment

Timing

Exam: November / December
Reexam: February

Tests

Home assignment (part 1)

Name

Home assignment (part 1)

Form of examination

Take-home assignment

Censorship

Second examiner: None

Grading

7-point grading scale

Identification

Student Identification Card - Exam number

Language

English

Duration

Four weeks. 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

May be solved in groups of 3 students.

The examination consists of 2 parts; the final grade is computed as follows:

1. Take-home assignment in groups of 3 (weight 50%).
2. Individual written exam (weight 50%)

EKA

B560012122

Individual written exam

Name

Individual written exam

Timing

Exam: January
Reexam: February

Rules

-3 is not allowed

Tests

Written exam (part 2)

Name

Written exam (part 2)

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. Take-home assignment in groups of 3 (weight 50%).
2. Individual written exam (weight 50%)

Exchange students may take this exam as a take-home assignment.

EKA

B560012112

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. 

Courses offered

Offer period Offer type Profile Education Semester
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Fall 2018 Optional MA Negot 120 ECTS Spanish language profile International Relations Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS English language profile International Communication Management Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS Arabic language profile Global Marketing Management Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS German language profile International Communication Management Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS English language profile International Market Relations Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS Spanish language profile Human Ressource Management Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS German language profile International Market Relations Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS Spanish language profile Global Marketing Management Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS Arabic language profile Human Ressource Management Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS Arabic language profile International Relations Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS Arabic language profile International Communication Management Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS English language profile Global Marketing Management Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS Spanish language profile International Market Relations Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS English language profile Human Ressource Management Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS Spanish language profile International Communication Management Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS German language profile Human Ressource Management Master of Arts (MA) in Business, Language and Culture | Odense
Fall 2018 Optional MA Negot 120 ECTS English language profile International Relations Master of Arts (MA) in Business, Language and Culture | Odense
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Fall 2018 Optional Global Logistics and Supply Chain Management - Organization Combination MSc in Economics and Business Administration | Master of Science (Msc) in Economics and Business Administration | Esbjerg, Soenderborg, Slagelse, Odense, Kolding
Fall 2018 Mandatory Cand.scient.oecon (Statistik) MSc in Mathematics-Economics | Master of Science (MSc) in Mathematics-Economics | Odense 1
Fall 2018 Optional Cand.scient.oecon (Finansiering) MSc in Mathematics-Economics | Master of Science (MSc) in Mathematics-Economics | Odense
Fall 2018 Optional Cand.scient.oecon (Operationsanalyse) MSc in Mathematics-Economics | Master of Science (MSc) in Mathematics-Economics | Odense
Fall 2018 Mandatory Master of Science in Economics (with profile in Economics) MSc in Economics | Master of Science (MSc) in Economics | Odense 1
Fall 2018 Optional Master of Science in Economics (with profile in Finance) MSc in Economics | Master of Science (MSc) in Economics | Odense

Teachers

Name Email Department City
Giovanni Mellace giome@sam.sdu.dk Odense

Student teachers

Name Email Department City
Simon Friis Wittrock sfw@samnet.sdu.dk Odense

URL for Skemaplan