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Unit of study_
ECMT6007: Analysis of Panel Data
2023 unit information
Recently, empirical research in economics, finance, marketing and accounting has been enriched by the increasing availability of new sources of data, known as panel data. A 'panel' refers to the pooling of observations on a cross section of households, countries, firms etc. over several time periods. Panel data sets possess several major advantages over conventional cross-sectional or time series data sets. This unit aims to offer a comprehensive treatment of the analysis of panel data, which will allow students to deal in a pragmatic way with fundamental issues, such as controlling for individual heterogeneity, reducing collinearity among regressors, addressing statistical hypotheses and identifying effects that are simply not detectable in pure cross-section or time series data.
Unit details and rules
Managing faculty or University school:
Arts and Social Sciences
| Study level | Postgraduate |
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| Academic unit | Economics |
| Credit points | 6 |
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Prerequisites:
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ECMT6002 or ECMT6702 |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. understand the models and econometric methods extensively used in analysis of panel data
- LO2. critically evaluate existing empirical studies of panel data from economics and other fields
- LO3. implement empirical projects using panel data and clearly demonstrate the ideas.
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