Panel Data Methods
Postgraduate: Level 7
Monday 13 January 2020
Friday 20 March 2020
12 September 2019
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
Bernhard Schmidpeter and Silvia Avram
For further information, send a message to firstname.lastname@example.org
Dr Roberto Bonilla Trejos
The University of Newcastle-upon-Tyne
Available via Moodle
Of 22 hours, 22 (100%) hours available to students:
0 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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