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POGO8050 Empirical Political Analysis 2: Political Economy

Offered By Policy & Governance
Academic Career Graduate Coursework
Course Subject Policy and Governance
Offered in POGO8050 will not be offered in 2010
Unit Value 6 units
Course Description

Economic policy-making is often susceptible to political influences. Politicians' and voters' attitudes and behavior are often influenced by economic conditions. To understand politics and economy today, it is indispensable to understand interactions between them. Students taking this course learn important theories of comparative political economy to achieve this goal. In particular, they learn the political consequences of economic performance and the economic consequences of political institutions and behavior. The course is intended to complement other political science and economics courses offered at the Crawford School and other schools in the following regard. First, this course focuses on analyzing causes and consequences of, rather than describing similarities and differences in, political and economic systems and outcomes across nations. Second, its goal is to understand real-world experience through empirical, rather than normative, theories of politics.

Learning Outcomes

Upon successful completion of this course students will be able to:

  • demonstrate a broad understanding of key theories and empirical findings in the literature of political economy;
  • consider political aspects of real-world economic problems and policies and economic aspects of real-world political conflicts, behavior and outcomes;
  • make critical evaluations of methodological issues and problems in existing studies;
  • demonstrate a basic knowledge of commonly used methodological tools in studies of political economy, including randomized experiments, multiple regressions, and comparative case studies;
  • develop, refine and present a research proposal for their own original research.
Indicative Assessment

-         40% Literature reviews (Learning outcomes #1 - #4).

-         50% A research proposal (Learning outcomes #5)

-         10% Discussions (Learning outcomes #1 - #5)

 

Workload

-         1 half-day introductory session (3 hours)

-         5 full-day sessions (6 hours per day)

-         1 half-day concluding session (3 hours)

-         A minimum of 50 hours overall for reading and preparation outside of contact hours to complete the course

Course Classification(s) SpecialistSpecialist courses are designed for students having reached 'first degree' level of assumed knowledge, which provide for the acquisition of specialist skills; or 'second degree' and higher level of knowledge; or for transition to research training programs; or knowledge associated with professional accreditation.
Areas of Interest Policy Studies
Eligibility

There is no pre-requisite or co-requisite for this course. However, as most assigned articles are based on statistical analysis, it is highly recommended (but not required) to take at least one course on research methodology or statistics before taking this course; for example, POGO8096/8196 (Research Methods). For students who have no statistical background, instructions in how to interpret statistical results are given during the course.

Assumed Knowledge and
Required Skills

There is no pre-requisite or co-requisite for this course. However, as most assigned articles are based on statistical analysis, it is highly recommended (but not required) to take at least one course on research methodology or statistics before taking this course; for example, POGO8096/8196 (Research Methods). For students who have no statistical background, instructions in how to interpret statistical results are given during the course.

Corequisites

Pre/corequisites

There is no pre-requisite or co-requisite for this course. However, as most assigned articles are based on statistical analysis, it is highly recommended (but not required) to take at least one course on research methodology or statistics before taking this course; for example, POGO8096/8196 (Research Methods). For students who have no statistical background, instructions in how to interpret statistical results are given during the course.

 

 

Indicative Reading List To be distributed.
Other Information

Delivery Mode:

On Campus. 

5 Full-day sessions and 2 half-day sessions in July-August

 

Academic Contact Dr Yusaku Horiuchi

The information published on the Study at ANU 2010 website applies to the 2010 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2009 website.

Updated:   13 Nov 2015 / Responsible Officer:   The Registrar / Page Contact:   Student Business Solutions