# 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.

Education

MSc Programme in Agricultural Economics
MSc Programme in Environment and Development
MSc Programme in Environmental and Natural Resource Economics
MSc Programme in Forest and Nature Management
MSc Programme in Sustainable Forest and Nature Management
MSc Programme in Global Environment and Development

Learning outcome

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.

Written
Oral
Individual
Collective
Continuous feedback during the course of the semester
• 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, calculators, mobile phones etc.

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
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

Saved on the 05-07-2024

### Are you BA- or KA-student?

Are you bachelor- or kandidat-student, then find the course in the course catalog for students:

Courseinformation of students