Probability and Statistics for Economics (HSL513)
Credit
4.00 (L-T-P: 3-0-2)
Department / Center / School / Unit
Course Objectives
The primary objective of this course is to provide introduction to Probability and Statistics for quantitative analysis in economics. This course builds upon statistical foundations of econometric methodologies that are useful in empirical research. Students will be introduced to the major quantitative techniques that social scientists use to test models, study economic behaviour, evaluate policies, and relationships between variables. The topics covered in the course include basic probability theory and mathematical statistics, linear regression models and its applications.
Course Contents
Probability and Distribution Theory, Estimation and Inference, ANOVA, Linear Regression Model, Least Squares Estimator, Hypothesis Tests and Model Selection.
Suggested References
Casella and Berger, Statistical Inference
Anderson, Sweeney and Williams, Statistics for Business and Economics
Wooldridge, J. Introductory Econometrics: A Modern Approach
Stock, J., Watson, M. Introduction to Econometrics