Course Number:
HSL513
LTP structure:
3-0-2
Discipline:
Economics
Credit:
4.0
Pre-requisite
Course Objective
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.
Faculty
Course Content
Probability and Distribution Theory, Estimation and Inference, ANOVA, Linear Regression Model, Least Squares Estimator, Hypothesis Tests and Model Selection.
The information provided here may not be updated. Please check UG/PG section for updated course offering data.