ES50100: Econometric theory
[Page last updated: 23 October 2023]
Academic Year: | 2023/24 |
Owning Department/School: | Department of Economics |
Credits: | 6 [equivalent to 12 CATS credits] |
Notional Study Hours: | 120 |
Level: | Masters UG & PG (FHEQ level 7) |
Period: |
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Assessment Summary: | CW 30%, EX 70% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: | |
Learning Outcomes: |
At the end of the unit students will be expected to be able to:
a) prove convergence results using laws of large numbers and the central limit theorem; b) use and interpret the results of the econometric models; c) test the validity of the empirical models using a wide range of diagnostic tools; d) use econometric software to perform basic empirical analysis. |
Aims: | The unit aims to provide students with an introduction to the basic concepts in modern econometric theory and to software packages that may be used to conduct econometric analysis. |
Skills: | Abstraction and analytic skills (A)
Information gathering and Synthesis (A) Use of Information Technology (F/A) Time Management and Planning (A) Numeracy Skills (T/A) |
Content: | * Basic probability theory: multivariate distributions, covariances, random vectors; * Convergence: convergence concepts, laws of large numbers, central limit theorem; * Regression theory and hypothesis tests; * Heteroskedasticity; * Structural breaks; * Discrete choice models; * Panel data models. |
Course availability: |
ES50100 is a Designated Essential Unit on the following courses:Department of Economics
ES50100 is Compulsory on the following courses:Department of Economics
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Notes:
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