Applied Econometrics

Course ID

B560027101

Course Title

Teaching language

English

ECTS value

Responsible study board

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

Course Responsible

Name	Email	Department
Mircea Trandafir	mircea.trandafir@sam.sdu.dk

Offered in

Odense

Level

Master

Offered in

Autumn

Duration

1 semester

Mandatory prerequisites

None.

Recommended prerequisites

Students taking the course should have already taken the course Microeconometrics. In addition, they should be familiar with statistical/econometrics software such as Stata or R.

Aim and purpose

Most estimation methods rely on untestable assumptions in order to yield causal estimates. How can then researchers check the plausibility of these assumptions and convince their audience that their estimates do indeed represent causal effects? This course will aim to provide answers to this question, focusing on the most commonly used estimation methods in applied microeconomics. In addition, students will also learn how to decide which estimation method is most appropriate to use in a particular situation, as well as the most common challenges to the identification of causal effects. At the end of the course, students should be able to design an empirical approach (i.e., choose an estimation method, provide evidence for the plausibility of its assumptions, estimate the model) when given a research question. This is a very valuable skill that will allow them to perform at a high level in a wide range of jobs, both in the public and in the private sector.

Content

The topics covered in the course include, time permitting:

•Fixed effects and difference-in-differences

•Instrumental variables

•Regression discontinuity

•Synthetic control

•Matching

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 needed for a causal interpretation of different methods.

•Describe and explain how to check for the plausibility of these assumptions.

Description of outcome - Skills

Demonstrate skills, such that the student is able to:

•Apply estimation methods to a given research question and data set using econometrics software.

•Determine the plausibility of the assumptions required for the estimation of causal effects.

•Interpret the estimation results.

•Identify potential challenges to the assumptions underlying the estimation method.

Description of outcome - Competences

Demonstrate competences, such that the student is able to:

•Decide on the most appropriate method to use to answer a particular research question.

•Critically assess empirical studies.

Literature

The course mainly relies on articles, the list of which will be provided during the semester.

Teaching Method

Workload

Scheduled classes:
3 hours of lectures weekly for 15 weeks.

These teaching activities result in an estimated distribution of the work effort of an average student as follows:
Lectures - 45 hours
Preparation for the lectures - 90 hours
Preparation for in-class assignment (presentation) - 20 hours
Take-home assignment - 30 hours
Preparation for the final exam - 82 hours
Exam - 3 hours
Total: 270 hours.

Examination regulations

Exam

Name

Exam

Timing

Exam: November/December + January.

Reexam: February.

Tests

Individual in-class assignment (September-December).

Name

Individual in-class assignment (September-December).

Form of examination

Written examination on premises

Censorship

Second examiner: None

Grading

Pass/Fail

Identification

Student Identification Card - Exam number

Language

English

Duration

20 minutes

Length

Not applicable.

Examination aids

All exam aids allowed.

Assignment handover

In class.

Assignment handin

In class.

ECTS value

Additional information

Part 1: Individual in-class assignment (September-December).
The in-class assignment consists of the presentation of a published research paper using one of the methods covered in the course. A list of eligible papers will be provided at the beginning of the course and the allocation of papers to students will also be made at the beginning of the course

Calculation of grade:
From the grades of parts 2 and 3 a final course grade is computed as follows: If one or both grades of part 2 and part 3 are -3, the final course grade is -3. When both grades of part 2 and part 3 are different from -3, the final course grade is computed as a weighted average with a weight of 40% on the grade of part 2 and a weight of 60% on the grade of part 3. The average is rounded to the nearest grade with the exception that the grade 02 cannot be given by rounding up the average.
When a student has obtained a grade of 02 or higher for one part of the evaluation, this part cannot be reevaluated. The final course grade is based on the most recently obtained grades for the two parts. When a student has obtained a final course grade of 02 or higher, none of the two parts can be reevaluated.

EKA

B560027112

Individual take-home assignment (November/December).

Name

Individual take-home assignment (November/December).

Form of examination

Take-home assignment

Censorship

Second examiner: None

Grading

7-point grading scale

Identification

Student Identification Card - Date of birth

Language

English

Duration

Two weeks (including weekend). Date for submission will appear in the examination plan.

Length

Page limitations will be clear in the description provided at the time of the assessment.

Examination aids

All exam aids allowed.

Assignment handover

Course page in Blackboard.

Assignment handin

Via SDUassignment in the course page in Blackboard.

ECTS value

Additional information

EKA

B560027122

Individual written exam (January).

Name

Individual written exam (January).

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

Additional information

EKA

B560027132

External comment

NOTE - This course is identical with the former course Applied Econometrics (course id.)

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.

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
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 English language profile International Relations	Master of Arts (MA) in Business, Language and Culture \| Odense
Fall 2018	Optional	MA Negot 120 ECTS German language profile Global Marketing Management	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 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 Global Marketing 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 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 Communication Management	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 Spanish language profile International Market Relations	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 Arabic 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 International Relations	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 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 Arabic 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 Relations	Master of Arts (MA) in Business, Language and Culture \| Odense
Fall 2018	Optional	Cand.scient.oecon (Statistik)	MSc in Mathematics-Economics \| Master of Science (MSc) in Mathematics-Economics \| Odense
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	Optional	Master of Science in Economics (with profile in Economics)	MSc in Economics \| Master of Science (MSc) in Economics \| Odense
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
Mircea Trandafir	mircea.trandafir@sam.sdu.dk		Odense

URL for Skemaplan

Odense

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