ECM607B-Microeconometrics 2

Module Provider: School of Politics, Economics and International Relations
Number of credits: 10 [5 ECTS credits]
Level:7
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2019/0

Email: s.l.jewell@reading.ac.uk

Type of module:

Summary module description:

This module is the second of two modules intended to teach students advanced microeconometrics and focuses on causality and treatment effects. The module will build on the first module ECM607A, and whilst ECM607A is not a pre-requisite, students will be expected to have knowledge of the topics taught in ECM607A. The module considers how to select and apply econometric techniques for research. In addition students will develop their econometric software skills using Stata.

Aims:

The aim of this module is to provide students with a more extensive knowledge and understanding of microeconometrics, building on topics taught in ECM607A, especially applying the techniques for research. Secondly the module will teach students how to apply these econometric techniques, using the statistical package Stata

Assessable learning outcomes:

By the end of the module students should have the knowledge and understanding to be able to select and use appropriate econometric techniques for research, as well as understanding which post-estimation tests to apply and any caveats to the techniques. Students should be in a position to be able to perform their own data analysis using the statistical package Stata.

Additional outcomes:

Students will develop their research and data handling skills, and be able to critically evaluate methods and approaches chosen by research papers.

Outline content:

Topics will focus on causality and treatment effects.

Brief description of teaching and learning methods:

Teaching will be a combination of lectures and computer classes.

Summative assessment- Examinations:

Summative assessment- Coursework and in-class tests:

There will be one Stata based replication assignment which will be due in week 10 of the Spring term.

Formative assessment methods:

There will be computer exercises for each topic; you will be expected to run through these before the full solutions are uploaded.

Penalties for late submission:
Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx

Assessment requirements for a pass:

A minimum overall mark of 50%.

Reassessment arrangements:

Re-examination for all modules takes place in August of the same year and a new assignment will be set.

 

Additional Costs (specified where applicable):

Last updated: 10 April 2019