Module ECON47715: Microeconometrics

Department: Economics

ECON47715: Microeconometrics

Type	Level	Credits	Availability	Module Cap	Location
Tied	4	15	Available in 2026/2027	None.	Durham

Tied To

Pre-requisites

None

Corequisites

Econometric Analysis (ECON41515)

Excluded Combinations

None

Aims

to build upon the knowledge gained in Econometric Analysis and provide students with the specific advanced technical skills (both theoretical and practical) necessary to understand the methods employed by micro econometricians;
to provide students with the tools required to conduct policy evaluation using microeconomic cross section and panel datasets.

Content

Topics may include:
Static and dynamic models for panel data: random-effects approach, fixed-effects approach
Limited dependent variable models: discrete response, censored regression, sample selection
Treatment effect models: regression-based methods, alternative methods (e.g. matching)

Learning Outcomes

Subject-specific Knowledge

have an advanced knowledge of the principles and methods of modern microeconometrics;
have extended and deepened their understanding of econometrics gained in Econometric Analysis, and improved their critical judgement and discrimination in the choice of techniques applicable to complex situations;
have extended their understanding of the application of econometric methods and interpretation of the results at an advanced level;
have extended their understanding of the use of econometric tools to conduct advanced empirical investigations into complex specialised issues.

Subject-specific Skills

have further practised problem-solving skills in econometrics at an advanced level and the use of econometric software.

Key Skills

Written Communication;
Planning, Organising and Time Management;
Problem Solving and Analysis;
Using Initiative;
Numeracy;
Computer Literacy.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

A combination of lectures, workshops and guided reading will contribute to achieving the aims and learning outcomes of this module. Weekly workshops will discuss applications of the econometric techniques and will introduce students to implementation of the methods in statistical software package(s), using micro data. The summative assignment will involve students writing an empirical report using techniques covered in the module, applied to micro data. This will test students' knowledge and critical understanding of the material covered in the module, their analytical and problem-solving skills.

Teaching Methods and Learning Hours

Activity	Number	Frequency	Duration	Total Hours	Attendance Monitored
Lectures	10	1 per week	2 hours	20
Workshops	8	Weekly	1 hour	8	Yes
Preparation and Reading				122
Total				150

Summative Assessment

Component	Component Weighting	Element	Length/Duration	Element Weighting	Resit Opportunity
Project	100%	Written Project	3000 words maximum	100%

Formative Assessment

Students prepare answers to questions in advance of workshops, these are discussed during the workshops with feedback given by the lecturer. 'Indicative answers' are also presented during the workshops and posted on Learn Ultra. Feedback on discussions is available with teaching staff during consultation hours, or via e-mail.

Students who do not attend monitored activities shown under Teaching Methods and Learning Hours, or who fail to complete the summative or formative assessment(s) specified above, may be subject to the Academic Progress procedures defined in the University's General Regulation V, and may be required to leave the University.