Applied Econometrics
Course content
This course aims at providing the student basic knowledge about relatively advanced regression models and methods that are relevant to applied economists. With a mix of econometric theory and applications the course will develop the student's skills to conduct own empirical research projects.
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The main objective of the course is to provide an introduction
to the more advanced themes in econometric modeling with an
emphasis on application of estimation techniques and statistical
testing.
After completing the course it is expected that the student is able
to:
Knowledge:
- Reflect about the appropriate choice of estimator given certain
types of data such as panel data, data with a binary dependent
variable and other types of limited dependent variables.
- Reflect about econometric problems and solutions in relation to
endogenous regressors.
Skills:
- Formulate, estimate and interpret results of multiple linear
regression models.
- Formulate, estimate and interpret results of econometric models
for binary dependent variables.
- Formulate, estimate and interpret results of econometric models
for corner solution responses. (Only corners eq. to zero)
- Formulate, estimate and interpret results of econometric models
for count data.
- Formulate, estimate and interpret results of linear econometric
models for panel data.
- Formulate, estimate and interpret results of linear econometric
models with endogenous regressors.
Competencies:
- Understand the concepts of consistency, unbiasedness and
asymptotic normality of estimators.
- Understand the concept of prediction, and understand that the
calculation of expected values varies between models.
- Understand the concept of endogeneity
- Discuss the results of econometric analyses based on model
assumptions and limitations.
- Interpret outcomes of econometric analyses and draw appropriate
conclusions.
lectures, own reading, exercises, computer laboratory work, and work with case-reports
Jeffrey M. Wooldridge. Introductory Econometrics: EMEA
Adaptation
Software: R
The literature is indicative. The exact literature will be
announced at Absalon at the beginning of the
course.
It is absolutely necessary to have passed a course in statistics
and econometrics with competences corresponding to:
- LMAB10069 Statistical Data Analysis 1
- NIFB14014U Econometrics
Academic qualifications equivalent to a BSc degree is
recommended.
- The students get individual written feedback on the three assignments handed in during the course, and joint verbal feedback on each assignment.
- During exercises the students get verbal feedback on their methods and interpretations of results
- The students get verbal feedback on the learing targets during the joint summing up exercises in class.
- ECTS
- 7,5 ECTS
- Type of assessment
-
On-site written exam, 4 hours under invigilation
- Type of assessment details
- The written examination counts 100% of the grade.
The on-site written exam is an ITX exam.
See important information about ITX-exams at Study Information, menu point: Exams -> Exam types and rules -> Written on-site exams (ITX) - Exam registration requirements
-
During the block students will work on the completion of 3 applied case studies where econometric analysis has to be used to analyse different data problems and assess the quality of the results. The reports can be done as group work. Each of the reports must be passed to allow the student to take the final exam.
- Aid
- All aids allowed
The University will make computers available to students at the ITX-exam.
Students are not permitted to bring digital aids like computers, tablets, mobile phones etc.
Students are, however, allowed to bring a calculator.Books, notes, and similar materials can be brought in paper form or uploaded before the exam and accessed digitally from the ITX computer. Read more about this at Study Information.
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
- Re-exam
-
As ordinary exam. If 10 or fewer register for the reexamination the examination form will be oral.
The oral exam lasts 30 minutes. There is 30 minutes for preparation with all aids allowed.
If the student has not passed the exam registration requirement of successful completion of 3 applied case studies, then these case studies must be handed in three weeks prior to the re-exam. They must be approved before the exam.
Criteria for exam assessment
See Learning Outcome
Single subject courses (day)
- Category
- Hours
- Lectures
- 36
- Preparation
- 70
- Practical exercises
- 36
- Project work
- 60
- Exam
- 4
- English
- 206
Kursusinformation
- Language
- English
- Course number
- LOJK10272U
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 block
- Placement
- Block 1
- Schedulegroup
-
B
- Capacity
- No limitation – unless you register in the late-registration period (BSc and MSc) or as a credit or single subject student.
- Studyboard
- Study Board of Natural Resources, Environment and Animal Science
Contracting department
- Department of Food and Resource Economics
Contracting faculty
- Faculty of Science
Course Coordinator
- Sinne Smed (2-82824f7875817e3d7a843d737a)
Teacher
Sinne Smed
Laura Mørch Andersen
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