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 Academic Year: | 2016/7 |
| 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 5%, EX 95% |
| Assessment Detail: |
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| Supplementary Assessment: |
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| Requisites: | |
| Description:
| 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. 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) understand the principles of maximum likelihood and method of moments estimation; c) use and interpret the results of the basic linear regression model; d) use econometric software to perform basic empirical 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, Bayesian updating; * Convergence: convergence concepts, laws of large numbers, central limit theorem; * Stochastic processes: random walks, martingales, Brownian motion, Poisson processes; * Estimation and testing: maximum likelihood estimation, method of moments estimation, consistency, hypotheses, bias; * Regression theory: basic linear regression, non-parametric regression, quantile regression. |
| Programme availability: |
ES50100 is a Designated Essential Unit on the following programmes:Department of Economics
ES50100 is Compulsory on the following programmes:Department of Economics
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Notes:
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