NA0171, Econometric Theory, 7.5 Hp
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Syllabus

Valid from : Autumn semester 2024 (2024-09-02)

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 provide students with understanding of basic concepts in probability and statistics, as well as knowledge of common econometric methods used in empirical economic research.

Content

The course will cover probability theory, inference and econometrics. The probability theory part covers laws of probability, expected values, multivariate distributions and probability density functions. The inference part covers sampling distributions, the central limit theorem and large-sample hypothesis tests. The econometrics part covers in particular ordinary least squares, nonlinear regression and an introduction to maximum likelihood and the method of moments. The course will also include history of social scientific thought.

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
• Agricultural Science with a Specialisation in Economics and Business Administration

Module set

Title	Credits	Code
Single module	7.5	0201