ECM607ANU-Microeconometrics 1

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: 2021/2

Module Convenor: Dr Sarah Jewell
Email: s.l.jewell@reading.ac.uk

Type of module:

Summary module description:

NUIST Module Lead:ÌýÌýAssociate Prof.ÌýXieÌýWanying, Email: xie_wanyinglai@163.com

This module is the first of two modules intended to teach students microeconometrics, and builds on ECM104/ECM104NU. The module considers how to select and apply econometric techniques for research. In addition students will develop their econometric and data software skills using Stata.

Aims:

The aim of this module is to provide students with a knowledge and understanding of common microeconometric methods, beyond ordinary least squares methods, especially applying the techniques for research purposes. 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:

1. understand the different types of microeconometric data and the methods available to analyse these;


2. be able to analyse microeconometric data using the methods taught and interpret the results of such analyses;


3. be able to perform their own data analysis using the statistical package Stata;


4. have the knowledge to be able to select and use appropriate econometric techniques f or research, as well as understanding which post-estimation tests to apply and any caveats to the techniques.

Additional outcomes:

Students will develop their data analysis skills using the statistical package Stata.

Outline content:

Topics may include: panel data; discrete choice modelling, sample selection issues, instrumental variables.

Brief description of teaching and learning methods:

The module follows a blended learning approach. Lectures will be pre-recorded so students can follow them, and any additional provided resources, at their own pace, with weekly applied workshops including computer based exercises. Students will be required to watch the videos in advance of workshops, and expected to prepare for the workshops and do any required reading in advance. Students will be assigned to workshops based on their previous econometrics background.Ìý

Summative assessment- Examinations:

There is no final examination.

Summative assessment- Coursework and in-class tests:

There will be one Stata based project which will be due in shortly after the course ends.Ìý

Formative assessment methods:

There will be computer exercises for each topic, students are expected to attempt these prior to class and complete them after class.

Penalties for late submission:

The below information applies to students on taught programmes except those on Postgraduate Flexible programmes. Penalties for late submission, and the associated procedures, which apply to Postgraduate Flexible programmes are specified in the policy 􀀓Penalties for late submission for Postgraduate Flexible programmes􀀔, which can be found here: