Module code: ECOM043

Module provider


Module Leader

WITT RJ Prof (Economics)

Number of Credits


ECT Credits



FHEQ Level 7

JACs code


Module cap (Maximum number of students)


Module Availability

Semester 2

Overall student workload

Independent Study Hours: 120

Lecture Hours: 22

Laboratory Hours: 8

Assessment pattern

Assessment type Unit of assessment Weighting
School-timetabled exam/test IN-SEMESTER TEST - 1 HOUR 25%
Examination EXAMINATION - 2 HOUR 75%

Alternative Assessment

Not applicable

Prerequisites / Co-requisites

ECOM042 (Econometrics 1) is a co-requisite for this module

Module overview

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

Module aims

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. 

Learning outcomes

Attributes Developed
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

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Module content

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

Assessment Strategy

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

Reading list for ECONOMETRICS 2 :

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.