University of Oxford Faculty of History

Core programme


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Quantitative Methods 2

Michaelmas term 2011

Kevin O'Rourke, All Souls College

Igor Zurimendi , Pembroke College

 

OBJECTIVES

The aim of this course is to expand students’ knowledge of quantitative methods, giving a particular emphasis to applied econometric techniques. It attempts to provide useful analytical tools for those willing to carry out empirical work in their professional lives, and to give those interested in an academic career the theoretical background needed to approach more advanced courses in the subject.

To achieve this, the course is organised around theoretically-oriented lectures with ample opportunity for practical application. The discussion of theoretical topics will be complemented by a close reading of the scholarly literature, where students will be able to see how concepts covered in class are applied by economic historians in practice. Also, since the focus is on applied methods, computer applications form an integral part of the course and extensive use is made of STATA, one of the most widespread statistical packages used to perform econometric analysis.

On completion of the course, the student should be able to understand the basic linear regression model, how it is used to test a variety of theories, the kind of problems that can arise when the assumptions of the model are violated, and how the researcher can overcome such problems. More advanced topics will also be discussed such as time series and panel data econometrics, techniques for modelling limited dependent variables, and dealing with issues surrounding model specification and endogeneity.

(N.B.: In order to balance applied and theoretical econometrics, the material will be presented without resorting to matrix algebra and no advanced skills in mathematics or statistics are required to follow the course. Students must, however, be prepared to adapt to new statistical concepts and symbols commonly used in econometric theory.)

 

COURSE ARRANGEMENTS

There will be eightU sessions in the Michaelmas Term, beginning in Week 1 and concluding in Week 8. Each session will last about two-and-a-half hours.  These will take place:

  • Mondays, 10.30-13.00, Weeks 1 to 8 (Michaelmas term)
  • Computing Room in the History Faculty Building (Old High School for Boys) in George Street

Each session consists of a lecture on a theoretical topic, discussion of a prescribed journal article, and hands-on work on the computer. As in other intensive courses, this will require a considerable effort and students are expected to perform a series of tasks:

  • Hand in weekly problem sets;
  • Do a series of data analysis exercises during the computing sessions;
  • Prepare a presentation on a prescribed paper to the class.

Only after these tasks are fulfilled successfully can the course teacher, as required by Examination Regulations, confirm a candidate's satisfactory participation in the course to the board of examiners.

 

BIBLIOGRAPHY

The course textbook will be:

  • Wooldridge, Jeffrey [2006]; Introductory Econometrics:
    A Modern Approach –Third Edition
    - (Thomson/South-Western)

The programme will follow the structure of this book and many of the exercises will be taken from it, or make reference to it. Students are advised to ensure that they have  access to a copy of the textbook during Michaelmas term.

 

For some specific topics, additional readings will be suggested from textbooks such as Gujarati’s Basic Econometrics [2003], Kennedy’s A Guide to Econometrics [2003], Pindyck & Rubinfeld’s Econometric Models and Economic Forecasts [1998], or Thomas’ Modern Econometrics: An Introduction [1996], as well as from professional articles. A full reading list for each week will be distributed in the first class.


Computing Facilities

Students may use the Computing Room in the Faculty of History (Old High School for Boys) in George Street, 8 am till 8 pm seven days a week, unless the room is being used for a class. There are 19 computers connected to an A4 printer.  An A3+ sized scanner is also available. Access to the building and the room is by swipe card. In order to gain access to the room, you must first register with the Faculty’s IT Office (tel. (6)15031 or email HUitsupport@history.ox.ac.ukUH).