![]() ![]() know elementary procedures for model validation in the single equation context.be able to interpret and critically evaluate outcomes of empirical analysis.have concise knowledge of basic regression analysis of economic data.Introduction to forecasting using estimated econometric models.introduction to the method of moments and the maximum likelihood principle for estimation of the parameters of a single equation econometric model.generalizations of the regression model with heteroskedasticity and auto-correlation.statistical testing of economic hypotheses within a regression framework.properties of ordinary least squares (OLS) estimators.the modeling of linear and non-linear relationships between economic variables.the specification of the statistical regression model and its relevance for economic data.In addition to the theoretical approach, you will also be learn how to use the programme package Stata to do regression analyses of empirical data.Ĭentral themes, both for lectures and seminars, are: Through this course you will get a broad knowledge about statistical methods for analysing single equation econometrics models. It builds on the bachelor’s level course in statistics and is the starting point for advanced econometrics. This is the compulsory master’s level course in econometrics. This course is equivalent with ECON3150 – Introductory Econometrics
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