Applications of Data Analysis
Postgraduate: Level 7
Sunday 17 January 2021
Friday 26 March 2021
15 October 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
The module has three parts:
1 An introduction to different types of panel datasets and their issues,
and to the statistical software.
2 An introduction to survey methodology, with particular focus on
attrition, response rates, sample frames, and weighting.
3 Applications of panel data methods to the study of labour markets,
with particular focus on marriage, unemployment and wages.
The aims of the module are threefold. The first aim is to introduce
students to applications of longitudinal data analysis based
on microeconometric techniques. The second aim is to instruct students
in the basics of survey methodology, including issues such as attrition,
response rates, sampling frames and weighting. The third aim is to
develop an understanding of the links between the predictions of
economic theory and empirical implementation of such theory using longitudinal data. To deepen students understanding, the whole
course is based on the lab, where students perform supervised practical
analyses of longitudinal data (specifically on the British Household Panel Survey) and familiarise with basic PC statistical programs (STATA).
To aquire key stills in Conceptualisation, Originality, Data analysis, Data analysis software, Analytical reasoning, Critical evaluation, Interpretation of math, Econometrics and statistics and Independent inquiry.
No additional information available.
4 hours lecture per week Weeks (21 - 25) all in the lab.
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 a published bibliography.
Assessment items, weightings and deadlines
|Coursework / exam
||120 minutes during Summer (Main Period) (Main)
Module supervisor and teaching staff
Dr Angus Holford, email: firstname.lastname@example.org.
Angus Holford. Additional Teaching Staff: Ioannis Korkos
For further information, send a message to email@example.com
Dr Roberto Bonilla Trejos
The University of Newcastle-upon-Tyne
Available via Moodle
Of 26 hours, 0 (0%) hours available to students:
26 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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