GV4H6 Half Unit
Behavioural Political Economy
This information is for the 2020/21 session.
Dr Rafael Hortala-Vallve
This course is available on the MSc in Political Science and Political Economy. This course is available with permission as an outside option to students on other programmes where regulations permit.
The deadline for applications is 17:00 on Tuesday 29 September 2020. You will be informed of the outcome by 17:00 on Wednesday 30 September 2020.
It is required that students have some familiarity with formal models (game theory) and basic statistical concepts.
In this course we will introduce behavioural concepts and use them at explaining decisions of politicians, candidates for political office, voters, lobbyists, and other actors in the political and policymaking arena. The focus of the course will be academic but we will also visit the recent development by public policy practitioners – both the UK and the US have behavioural insights teams working closely with the executive branch.
We will analyse different political phenomena that do not perfectly fit our rational choice models. We will cover issues such as turnout in large elections, populist policies, framing of public policies to influence public opinion, attribution of blame to politicians, opt-in/opt-out policies and paternalism in policy recommendations, etc. By introducing insights from psychology to our classical political economy models we will study the effects of social, cognitive, and emotional factors on political decisions. Parallel to this formal analysis we will also introduce experimental methods.
This course is delivered through a combination of lectures and seminars totalling a minimum of 24 hours in the Lent Term. Some or all of this teaching will be delivered through a combination of online and on-campus lectures and seminars. There will be a reading week in LT Week 6.
1 formative essay of 1000 words to be submitted in LT Week 7.
Berggren, N (2011), “Time for behavioural political economy? An analysis of articles in behavioural economics”, mimeo
De Rooij, E (2009), “Field Experiments on Political Behavior and Collective Action”, Annual Review of Political Science
Druckman, J (2006), “The growth and Development of Experimental Research in Political Science”, American Political Science Review
Druckman, J, D Green, J Kuklinski, and A Lupia (2011), Cambridge handbook of Experimental Political Science, Cambridge University Press
Kagel, J and A Roth (1995), Handbook of Experimental Economics, Princeton University Press
McDermot, R (2002), “Experimental Methods in Political Science”, Annual Review of Political Science
Morton, R and K Williams (2010), Experimental Political Science and the study of causality: from nature to the lab, Cambridge University Press
Palfrey, T (2009), “Laboratory experiments in Political Economy”, Annual Review of Political Science
Thaler, RH and CR Sunstein (2009), Nudge: improving decisions about health, wealth and happines, Yale University Press
Wilson, R (2011), “The contribution of behavioural economics to political science”, Annual Review of Political Science
Essay (50%, 3000 words) in the ST.
Take-home assessment (50%).
Each student is required to submit an essay (3000 words including footnotes and appendix) in week 1 of Summer Term composed of two parts: the analysis of a behavioural aspect in a political economy situation and a novel experimental design proposal related to it. This essay will count for 50% of the final mark. The remaining 50% will be assessed by means of a take home exam.
Important information in response to COVID-19
Please note that during 2020/21 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.
Total students 2019/20: 12
Average class size 2019/20: 12
Controlled access 2019/20: Yes
Value: Half Unit
Personal development skills
- Team working
- Problem solving
- Application of information skills
- Application of numeracy skills
- Specialist skills