Postgraduate: Level 7
Monday 13 January 2020
Friday 20 March 2020
15 October 2019
Requisites for this module
PHD L10048 Economics
This module is concerned with topics in modern microeconometrics. Its
coverage begins with an examination of the nature of causal and noncausal models, a discussion of the nature of microeconomic data structures, and a review of core econometric methods.
It then proceeds to cover the analysis of limited dependent variable models, including discrete choice models and selection models, and then to examine program evaluation methods, including difference-in-differences estimators, regression discontinuity approach, and instrumental variables
To understand the methods of estimation and inference as applied in these models, be able to derive
the properties of some econometric methods applicable to such data and be prepared for the use
of these methods in their own empirical research.
Further information about the module is contained
Upon successful completion of this course students will have acquired an appreciation of
econometric methods applicable to the analysis of models for microeconomic data.
No additional information available.
One 2 hour lecture per week. Module resources will be made available in the Course Materials Repository.
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 Gordon Kemp
For further information, send a message to email@example.com
Dr Roberto Bonilla Trejos
The University of Newcastle-upon-Tyne
Available via Moodle
Of 30 hours, 28 (93.3%) hours available to students:
2 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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