EC484     
Econometric Analysis

This information is for the 2014/15 session.

Teacher responsible

Dr Taisuke Otsu 32L 4.25

Availability

This course is compulsory on the MSc in Econometrics and Mathematical Economics and MSc in Econometrics and Mathematical Economics (2 Year Programme). This course is available on the MRes in Economics (Track 1), MRes in Economics (Track 2), MSc in Applicable Mathematics, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (Research) and MSc in Statistics (Research). This course is available with permission as an outside option to students on other programmes where regulations permit.

Pre-requisites

Students must have completed Introductory Course in Mathematics and Statistics (EC400).

Course content

This course gives an advanced treatment of the theory of estimation and inference for econometric models.

 

Part (a) Matrix background; asymptotic statistical theory: modes of convergence, asymptotic unbiasedness, stochastic orders of magnitude, central limit theorems, applications to linear regression. Part (b) Parametric and nonparametric regression, generalized method of moments, instrumental variables, limited dependent variables, bootstrap, nonparametric identification.

Teaching

30 hours of lectures and 10 hours and 30 minutes of seminars in the MT. 30 hours of lectures and 15 hours of seminars in the LT. 4 hours and 30 minutes of seminars in the ST.

Indicative reading

No one book covers the entire syllabus; a list of references will be provided at the start of the course, and lecture notes and relevant articles will be circulated.

Assessment

Exam (100%, duration: 3 hours) in the main exam period.

Key facts

Department: Economics

Total students 2013/14: 27

Average class size 2013/14: 14

Controlled access 2013/14: Yes

Lecture capture used 2013/14: No

Value: One Unit

Guidelines for interpreting course guide information

Course survey results

(2010/11 - 2012/13 combined)

1 = "best" score, 5 = "worst" score

The scores below are average responses.

Response rate: 82.4%

Question

Average
response

Reading list (Q2.1)

2.2

Materials (Q2.3)

3

Course satisfied (Q2.4)

2.2

Lectures (Q2.5)

2.4

Integration (Q2.6)

2

Contact (Q2.7)

2

Feedback (Q2.8)

2.3

Recommend (Q2.9)

Yes

52.9%

Maybe

33.8%

No

13.3%