This subject builds on the multiple regression method and presents some general estimation and testing methods used in modern econometrics for applied economics and finance. The first part covers estimation and testing methods that address issues which arise when working with data that have a more general structure, such as random regressors and panel data. The second part of the subject will cover issues that are related to testing and estimation using non-stationary time series data in economics and finance, involving both unit root testing and co-integration. Empirical applications in economics and finance will be carried out using EVIEWS.

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