Panel Data Methods
Postgraduate: Level 7
Sunday 17 January 2021
Friday 26 March 2021
04 June 2020
Requisites for this module
MSC L11012 Applied Economics and Data Analysis,
MSC L11024 Applied Economics and Data Analysis,
MSC L110UH Applied Economics and Data Analysis,
MSC L16512 Quantitative International Development
Part I (survival analysis) is an introduction to the methods used to analyse spell duration data.
Part II (panel data analysis) of this course is an introduction to the issues and opportunities which arise with panel data and to the main econometric techniques for the analysis of them.
Although these techniques are widely applicable throughout the social sciences, most of the examples used to illustrate the methods are drawn from labour economics.
Objectives - To communicate skills necessary to understand and assess the applications of panel and duration data analysis reported in the literature.
This module will equip students with the skills needed to analyse a variety of research and policy problems using panel data methods
No additional information available.
4 hours lecture per week. (Part I and Part II weeks 16-20).
Feedback for this module will occur through class meetings where we will go over the answers to problem sets and where you will be able to ask questions about your own method of solution; answers that will be posted on the website for the module that will give you written guidance on the appropriate method to approach the problems, assignments, and tests; and office hours where any additional questions can be addressed. You should be sure that you use these methods to understand how to improve your own performance.
This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.
Assessment items, weightings and deadlines
|Coursework / exam
||120 minutes during Summer (Main Period) (Main)
Module supervisor and teaching staff
Dr Silvia Avram, email: email@example.com.
Mr Diego Collado, email: firstname.lastname@example.org.
Diego Collado and Silvia Avram
For further information, send a message to email@example.com
Dr Roberto Bonilla Trejos
The University of Newcastle-upon-Tyne
Available via Moodle
Of 45 hours, 20 (44.4%) hours available to students:
25 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.
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