MEC-203: Quantitative Methods

This course equips students with essential quantitative techniques for empirical economic analysis. It covers probability, statistics, econometrics, and optimization methods, with practical applications using real economic data.

Course Objectives

• Apply statistical tools to analyze economic problems
• Build and interpret regression models
• Address common econometric issues in data
• Use quantitative methods for decision-making
• Implement data analysis using software tools

Key Topics

• Probability Theory and Distributions
• Sampling and Hypothesis Testing
• Simple and Multiple Linear Regression
• Multicollinearity, Heteroskedasticity, and Autocorrelation
• Time Series Models and Forecasting
• Panel Data Analysis
• Optimization Techniques in Economics
• Introduction to Econometric Software (e.g., R/Stata)

Recommended References

• Introductory Econometrics by Jeffrey Wooldridge
• Basic Econometrics by Damodar Gujarati
• Econometric Analysis by William Greene
• Mathematics for Economists by Simon and Blume