GV300-6-AU-CO:
Quantitative Political Analysis
2019/20
Government
Colchester Campus
Autumn
Undergraduate: Level 6
Current
Thursday 03 October 2019
Saturday 14 December 2019
15
11 May 2020
Requisites for this module
(none)
(none)
(none)
(none)
(none)
BSC LL2F Economics and Politics,
BSC LL3F Economics and Politics (Including Year Abroad),
BSC LL4F Economics and Politics (Including Placement Year)
Students in the Government Department will be expected to participate in the Capstone Project, an opportunity to conduct their own independent research. The word count for the project should be between 9,000-10,000 words inclusive of notes and bibliography. Students can work in pairs for the final project to promote team building and mutual learning, but the project must in that case be 12,000 words.
The aims of the module are to endow students with the skills necessary for putting together a well-written, well-researched dissertation and to provide them with in-depth knowledge in a specific area of research of their choosing.
By the end of this module, students will have:
-Understood how to take initiative in developing a research project;
-Gained self-discipline in setting deadlines and adhering to them;
-Acquired in-depth knowledge in a subject matter that they are interested in.
No additional information available.
The module will be delivered by a (i) weekly pre-recorded lecture and (ii) a weekly interactive lecture. The pre-recorded lecture will consist of one or more items of prepared content that students can access electronically and must study before the interactive lecture. The interactive lecture will consist of one 50-minute lecture in which students can ask questions about, and discuss various aspects of, the prepared content with the module supervisor. Additionally, the interactive lecture will cover programming in R relevant for the problem sets due next.
- Blair, Graeme; Imai, Kosuke; Lyall, Jason. (2014) 'Comparing and Combining List and Endorsement Experiments: Evidence from Afghanistan', in American Journal of Political Science. vol. 58 (4) , pp.1043-1063
- Morgan, Stephen L.; Winship, Christopher. (2015) Counterfactuals and causal inference: methods and principles for social research, New York, NY: Cambridge University Press.
- Wooldridge, Jeffrey M. (2018) Introductory econometrics: a modern approach, Boston, MA: Cengage.
- Pettersson-Lidbom, Per. (2008) 'Do Parties Matter for Economic Outcomes? A Regression-Discontinuity Approach', in Journal of the European Economic Association. vol. 6 (5) , pp.1037-1056
- (c1993) 'On behalf of an experimental political science', in Experimental foundations of political science, Ann Arbor: University of Michigan Press. vol. Michigan studies in political analysis
- Lazer, D. (2014) The Parable of Google Flu: Traps in Big Data Analysis.
- Morton, Rebecca B.; Williams, Kenneth C. (2010) Experimental political science and the study of causality: from nature to the lab, Cambridge: Cambridge University Press.
- Gill, Jeff. (2006) Essential mathematics for political and social research, Cambridge: Cambridge University Press.
- Wooldridge, Jeffrey M. (©2020) Introductory econometrics: a modern approach, Boston, MA: Cengage.
- Angrist, Joshua David; Pischke, Jorn-Steffen. (2014) Mastering 'Metrics, New Jersey: Princeton University Press.
- Ludwig, Jens; Miller, Douglas L. (2007) 'Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design', in The Quarterly Journal of Economics. vol. 122 (1) , pp.159-208
- Nickerson, David W. (2008) 'Is Voting Contagious? Evidence from Two Field Experiments', in The American Political Science Review. vol. 102 (1) , pp.49-57
- Chen, Min; Mao, Shiwen; Zhang, Yin; Leung, Victor Chung Ming. (2014) Big data: related technologies, challenges and future prospects, Cham: Springer. vol. SpringerBriefs in computer science
- Kellstedt, Paul M.; Whitten, Guy D. (2013) The fundamentals of political science research, Cambridge: Cambridge University Press.
- Gerber, Alan S.; Green, Donald P. (©2012) Field experiments: design, analysis, and interpretation, New York: W.W. Norton.
- Kellstedt, Paul M.; Whitten, Guy D. (2018) The fundamentals of political science research, Cambridge: Cambridge University Press.
- Gelman, Andrew; Hill, Jennifer. (2007) Data analysis using regression and multilevel/hierarchical models, Cambridge: Cambridge University Press. vol. Analytical methods for social research
- Miguel, Edward; Satyanath, Shanker; Sergenti, Ernest. (2004-08) 'Economic Shocks and Civil Conflict: An Instrumental Variables Approach', in Journal of Political Economy. vol. 112 (4) , pp.725-753
- Kellstedt, Paul M.; Whitten, Guy D. (2018) The fundamentals of political science research, New York: Cambridge University Press.
- Gaines, Brian J.; Kuklinski, James H.; Quirk, Paul J. (2007) 'The Logic of the Survey Experiment Reexamined', in Political Analysis. vol. 15 (01) , pp.1-20
The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students. Further reading can be obtained from this module's reading list.
Assessment items, weightings and deadlines
Coursework / exam |
Description |
Deadline |
Coursework weighting |
Coursework |
Problem Set 1 |
23/10/2019 |
|
Coursework |
Problem Set 2 |
06/11/2019 |
|
Coursework |
Problem Set 3 |
20/11/2019 |
|
Coursework |
Problem Set 4 |
04/12/2019 |
|
Practical |
Mid-Term Test |
|
33.3% |
Exam |
Main exam: 24hr during Summer (Main 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.
Overall assessment
Reassessment
Module supervisor and teaching staff
Dr Dominik Duell, email: dominik.duell@essex.ac.uk.
Dr Duell email dd16751@essex.ac.uk
No
No
No
Dr Mohammed Rodwan Abouharb
University College London
Available via Moodle
Of 66 hours, 18 (27.3%) hours available to students:
48 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
Government
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