Postgraduate: Level 7
Monday 15 January 2024
Friday 22 March 2024
25 October 2023
Requisites for this module
EC402 and EC403 and EC903
MSC L11912 Behavioural and Experimental Economics,
MSC L11924 Behavioural and Experimental Economics,
MSC L119EB Behavioural and Experimental Economics,
MSC L119JS Behavioural and Experimental Economics
This postgraduate module equips students with the tools to critically access experimental methods commonly used in economics.
Students will put their theoretical knowledge into practice, learning how to design experiments and interpret their results. For this, students will be grouped into teams who will collaborate to design an experiment and present it in class. Students will also critically assess another group's experimental design.
The aim of this module is:
- To introduce students to experimental methods in economics with a focus on issues and principles of experimental design.
By the end of this module, students will be expected to be able to:
- Demonstrate knowledge of the foundations and assumptions of experimental methods in economics.
- Demonstrate an understanding of the key concepts and terminology used in experimental research.
- Critically evaluate the strengths and weaknesses of applying experimental methods in economic research.
- Demonstrate understanding of and apply basic principles of experimental design, conduct and analysis.
- Demonstrate ability to critically evaluate experimental designs.
With a growing interest in behavioural considerations, experiments are increasingly used not only in psychology, but also economics and political science. Recognizing the value of controlled variation to study causal relationships, large companies also increasingly use "A-B testing".
- Introduction: The motivation of experimental research.
- Topics: Introduction to experimental methods.
- Economics as an experimental science.
- Strengths and weaknesses of the experimental method.
- Field vs. laboratory experiments:- Causality, missing counterfactual and randomization - Induced value theory.
- Experimental Design
- Classical paradigms.
- Common treatment variations and their motivations.
- Additional design choices such as matching protocol, within vs between designs, repetition and payment methods.
- Statistical aspects of experimental design in experimental economics: power calculations, randomization techniques.
- Logistics and ethics of experiments
- Analysis of experimental data.
- Hypothesis testing.
- Non-parametric tests for matched and independent samples.
- Presentation of own experimental designs.
This module will be delivered via:
- One 2-hour lecture per week.
- One 1-hour class per week in the Economics department.
This module does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
|Coursework / exam
|Discussion of other people's presentations
|Main exam: In-Person, Open Book, 120 minutes during Summer (Main Period)
|Reassessment Main exam: In-Person, Open Book, 120 minutes during September (Reassessment Period)
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Module supervisor and teaching staff
Dr Dennie Van Dolder, email: email@example.com.
Lectures & Classes: Dr Dennie Van Dolder
For further information, send an email message to firstname.lastname@example.org.
Dr Domenico Moro
university of Birmingham
Available via Moodle
Of 14 hours, 14 (100%) hours available to students:
0 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.
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