What will you in the Econometrics: Methods and Applications Course
Apply simple and multiple linear regression techniques
Address model specification and endogeneity issues
Analyze binary choice models and time series data
Utilize econometric methods for forecasting and decision-making
Interpret statistical outputs for practical applications in economics and business
Program Overview
Module 1: Simple Regression
Duration: ~7 hours
Motivation and representation of simple regression models
Estimation and evaluation techniques
Practical applications and peer-reviewed assignments
Module 2: Multiple Regression
Duration: ~7 hours
Extension to multiple predictors
Estimation, evaluation, and application in real-world scenarios
Peer-reviewed assignments to reinforce learning
Module 3: Model Specification
Duration: ~7 hours
Understanding model specification and transformation
Evaluation and application of specified models
Hands-on assignments for practical understanding
Module 4: Endogeneity
Duration: ~7 hours
Identifying and addressing endogeneity in models
Estimation techniques and testing for endogeneity
Application-based assignments
Module 5: Binary Choice Models
Duration: ~7 hours
Introduction to binary choice modeling
Estimation and evaluation methods
Real-life applications and peer-reviewed tasks
Module 6: Time Series Analysis
Duration: ~7 hours
Motivation and representation of time series models
Specification, estimation, and evaluation techniques
Application-focused assignments
Module 7: Case Project
Duration: ~7 hours
Comprehensive project integrating learned econometric methods
Practical questions addressed using econometric techniques
Peer-reviewed for collaborative learning
Module 8: Building Blocks (Optional)
Duration: ~7 hours
Foundational knowledge in matrices, probability, and statistics
Supplementary material to strengthen core concepts
Get certificate
Job Outlook
Economists: Enhance analytical skills for economic modeling and forecasting
Financial Analysts: Apply econometric methods to financial data analysis
Data Scientists: Integrate statistical models into data-driven decision-making
Policy Analysts: Utilize econometric tools for policy evaluation and development
Researchers: Strengthen empirical research with robust econometric techniques
Specification: Econometrics: Methods and Applications
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