IR 5020 Empirical Methods in Policy Analysis
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The course aims to contribute to the development and applications of statistics and econometrics in energy economics using R and also to encourage and improve communication between researches and experts in energy economics. A probability theory and inference theory will be introduced to participants. This part covers probability; conditional probability; discrete and continuous distributions of random variables; basic estimation methods and hypothesis testing. Classical multiple linear regression model will be presented and then by relaxing the assumptions of the model and the consequences and remedies will be discussed. After a review of the multiple linear regression model, the course will cover topics of instrumental variables; univariate and multivariate time-series models; panel data models and non-linear regression models such as discrete choice, limited and categorical variable models and duration models. Participants will learn the relevant theory and gain the ability to formulate and solve practical problems in Energy Economics.
Credit units: 3 ECTS Credit units: 5.
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