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Lund University
Economics: Econometrics
<p>In order to understand what goes on in the economy and to be able to test theories, we need empirical methods to analyse economic data. In this course, you will learn to analyse economic data, explore relationships, test ideas, and draw conclusions from different types of data. </p><p>This course focuses on under…
- Higher education
- Information unavailable
- 2 November 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
<p>In order to understand what goes on in the economy and to be able to test theories, we need empirical methods to analyse economic data. In this course, you will learn to analyse economic data, explore relationships, test ideas, and draw conclusions from different types of data. </p><p>This course focuses on understanding and applying linear regression models to analyse economic data. You will start by revisiting key concepts from probability and statistics to ensure a solid foundation. The core of the course is learning how to model relationships between variables, test ideas using data, and interpret results. You will study models for single-variable and multi-variable settings including how to handle qualitative data. </p><p>The course covers different types of data: cross-sectional, time-series, and panel data, and shows how to account for specific features in each case. Throughout, you will work with real datasets to practice analysis, evaluate model assumptions, and learn strategies for when assumptions are not fully met. We use basic statistics and probability to understand how models are estimated and evaluated. </p><p>By the end of the course, you will be able to apply the empirical tools you encounter in the course to answer economic questions and to communicate your findings effectively.</p>
Admission scores
Entry requirements
General and at least 20 ECTS basic economics, of which at least 7.5 ECTS basic microeconomics.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-11-02
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.nekg31.21607.20262
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.nekg31.21607.20262
- Offering identity in the source
- e.uoh.lu.nekg31.21607.20262
- Education-form source code
- HS
- Education code in the source
- NEKG31
- Change time according to the source
- 2026-02-10T09:19:01
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.