ECONOMETRICS 2 - 2017/8
Module code: ECOM043
WITT RJ Prof (Economics)
Number of Credits
FHEQ Level 7
Module cap (Maximum number of students)
Overall student workload
Independent Study Hours: 120
Lecture Hours: 22
Laboratory Hours: 8
|Assessment type||Unit of assessment||Weighting|
|School-timetabled exam/test||IN-SEMESTER TEST - 1 HOUR||25%|
|Examination||EXAMINATION - 2 HOUR||75%|
Prerequisites / Co-requisites
ECOM042 (Econometrics 1) is a co-requisite for this module
This 15 credit module introduces students to the econometric techniques relevant for the estimation of a range of models including those with either qualitative or limited dependent variables, models for survival analysis, and panel data models. A strong emphasis is placed on the empirical applications of these techniques and their intuition
access and understand an applied economics literature that uses these techniques
undertake competent empirical research using such techniques and
develop a familiarity with the STATA econometric package in undertaking such empirical analysis.
|Explain the concepts used for the qualitative and limited dependent variables methods and to apply them to simple situations.||KC|
|Explain the concepts used for survival analysis and panel data models and to apply them to simple situations.||KC|
|Use Stata to develop further your understanding of the syllabus material||PT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Indicative content includes:
Maximum Likelihood Principle, LP and Logit, Probit Models
Truncated and Censored Regression Models, Duration Models
Panel Data Models
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
Make the students understand the ideas behind the methods analysed;
Allow the students to apply these methods to simple situations.
Reading using lecturers guidance
Preparing exercises for discussion in computing workshops
Responding to questions in lectures and in computing workshops
The learning and teaching methods include:
11 x 2 hour lectures
8 x 1 hour STATA lab workshops
The assessment strategy is designed to provide students with the opportunity to demonstrate the students’ understanding of the statistical concepts associated with the methods studied, and ability to use STATA to solve simple problems can be assessed
Thus, the summative assessment for this module consists of:
2 hour unseen examination paper (75%) scheduled in Weeks 13-15. Statistical tables are provided for this assessment and candidates are permitted to use a pocket calculator.
1 hour multiple choice test in Week 7 worth 25%.
Formative assessment and feedback
Class test plus a two hour exam
Students will receive verbal feedback on their performance during the lab workshops and in the lectures.Office hours provide further opportunities for individual feedback.
Reading list for ECONOMETRICS 2 : http://aspire.surrey.ac.uk/modules/ecom043
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2017/8 academic year.