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Aims/Description: This module will develop your core econometrics skills. The first half of the module provides a grounding in key econometric techniques covering elements such as the classical linear regression model, hypothesis testing and problems of non-spherical disturbances. More advanced topics are then introduced in the second half of the module. Specifically you will focus upon topics in microeconometrics: including modelling discrete binary variables; censoring and sample selection, and then topics in macroeconometrics including: economic forecasting; stationarity; and cointegration. You will also develop a knowledge of using econometric software Stata.
Notes: This unit is available as part of the Research Training Programme.
Information on the department responsible for this unit (Economics):
URLs used in these pages are subject to year-on-year change. For this reason we recommend that you do not bookmark these pages or set them as favourites. Teaching methods and assessment displayed on this page are indicative for 2023-24.
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