Quantitative Methods for Economics
Part of this Programme
Level of Qualification|Semesters|ECTS
Master Degree | Semestral | 6
Year | Type of course unit | Language
1 |Mandatory |Português
Total of Working Hours | Duration of Contact (hours)
150 | 45
Recommended complementary curricular units
Prerequisites and co-requisites
The following topics will be covered:
- Samples vs Population
- Parameters, Estimates, Confidence Intervals and Hypothesis Testing
- Central Limit Theorem
- Independence, Correlation, Causation
- Contingency Analysis
- Linear Regression Analysis
The main goal of learning the practical knowledge/tools (mathematical and statistical based) is to be able to analyse data (in an inference context) in order to produce information to help a decision maker. This course improves analytical thinking and reasoning, use of IT tools, encourages interpersonal relations and teamwork and provides learning experience in integrating knowledge across fields.
Knowledge, abilities and skills to be acquired
This course offers a practical introduction to data analysis. A researcher is often interested in using sample data to investigate relationships between variables (quantitative or categorical), with the goal of creating a model to predict a future value for some dependent variable or just to understand the type of relationship (if any) between variables. Main topics will include: inference statistics and distributions, contingency analysis, analysis of variance, simple and multiple linear regression. Excel, Gretl (freeware) and SPSS will be used to conduct the statistical analysis.
Teaching methodologies and assessment
Students are welcome to bring their own devices (e.g IPhones, Smartphones, IPads, Notebooks) to class as this is a BYOD course: you will need to be connected during classes (at least to moodle).
Students will learn the several techniques because they will need to apply them in order to solve problems. All the classes will be a challenge.
Students will be graded thoughout
In-class quizzes (ICQ) ¿ 10%
Team reports (TR)¿ 25%
Final exam ¿ 65%
The final exam contains a form (previously available on Moodle) and tables with statistical distributions. The only allowed and required material is a pen and a calculator. Any additional sources of information in addition to those previously mentioned are not allowed.
Textbook: Newbold, Carlson and Thorne Statistics for Business and Economics, 8th Edition, Pearson Education, 2013 (Other editions of this book (6th and 7th) may also be used (the numbering of the chapters and exercises being different).
All the materials including lecture notes, homework, solutions, links to videos and web resources etc. will be available on our moodle site.