Panel Time Series
Course
In London
Description
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Type
Course
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Location
London
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Duration
3 Days
This course will discuss the econometric theory for such panels, and consider the models and estimators available for stationary, integrated and cointegrated variables and examine the issues raised by between-unit dependence. The procedures will be illustrated with data for international financial variables.
Facilities
Location
Start date
Start date
About this course
This course is designed for people who work with panel (longditudinal) data where there are a large number of both time-series and cross-section observations (large T, large N). It will involve applying a range of time-series methods (e.g. for unit roots and cointegration) in a panel context. People attending should have a good training in stastistics or econometrics including basic time-series and panel models.
Reviews
Course programme
The econometric theory for panel data was largely developed for the case where N, the number of units (e.g. individuals or firms) was large, but T the number of time-periods was small. Time-series analysis dealt with cases where N was small but T was large.
Recently, data-sets where both N and T are large and the same order of magnitude have become more common. Examples are the Penn World Tables, where the units are countries and financial data where the units are firms. These data allow much more flexible treatment of heterogeneity than small T panels but raise time-series issues such as unit roots and cointegration.
There will be a detailed set of lecture notes and a set of practical exercises, which would include the estimation output from the practicals. The practicals will use a panel of international financial data to estimate and test various parity conditions. The software package that will be used is LIMDEP.
Panel Time Series