NA0172, Applied Econometrics, 7.5 Hp
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Syllabus

Level

Second cycle (A1N)

Main field of study

Economics

Grading Scale

The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.

Course language

English

Entry Requirements

Objectives

The aim of this course is to give students advanced practice of how to conduct empirical economic research. After having taken the course, students should have an advanced understanding of causal inference, and be able to compare, implement and interpret different methods used to estimate causal effects.

Content

The course will cover multivariate regression, nonlinear regression, panel data, instrumental variables, regression discontinuity designs, and differences between experimental and quasi-experimental methods. The course will also cover ways to deal with econometric problems which often arise in applied work, such as missing values, multiple outcomes, non-random samples and outliers. The course will also discuss different philosophies and approaches to causal inference, including the potential outcomes framework, reduced form estimation and structural estimation. The course will cover basic to advanced statistical programming.

Examination Formats and Requirements for Passing the Course

Written exam.

Responsible Department/Equivalent

Department of Economics

Supplementary information

Included in program

• Environmental Economics and Management - Master's Programme
• Agriculture and Economics
• Agricultural, Food and Environmental Policy Analysis (AFEPA) - Master's Programme
• Agricultural Economics and Management - Master's Programme
• Agriculture Programme - Economics and Management
• Agricultural Science with a Specialisation in Economics and Business Administration

Module set

Title	Credits	Code
Single module	7.5	0201