Econometrics Techniques Online Course
Join our virtual, live instructor-led session and master Econometrics Techniques Training from anywhere in the world.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| ECT-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| ECT-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| ECT-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| ECT-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| ECT-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| ECT-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
Introduction to Econometrics in Practice
Spatial Econometrics: Mapping Insights
Impact Evaluation Methods
Survey Design and Implementation
Python for Econometrics
Advanced Regression Techniques
Data Wrangling for Econometrics
Ethics and Best Practices in Econometric Analysis
Communicating Econometric Results
Market-specific guidance for Singapore
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
2Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Stata StataCorpThe primary econometric software used across the Singapore Public Service (including MTI and MSF) for policy evaluation and survey analysis.
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EViews S&P GlobalWidely utilized by financial institutions in the Raffles Place district and the MAS for time-series forecasting and macroeconomic modeling.
Real-World Case Studies from Singapore
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SGP-MOD: Macroeconomic Modeling for Policy Simulation 2019Monetary Authority of Singapore (MAS)
The MAS developed SGP-MOD, a multi-sector dynamic stochastic general equilibrium (DSGE) model, to perform structural analysis and forecast the impact of external shocks on the Singapore economy.
The model allows policymakers to simulate the effects of changes in global demand and oil prices on Singapore's GDP and inflation, providing a rigorous econometric foundation for monetary policy decisions.
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Where this course runs
Econometrics Techniques Training is delivered in the cities below — pick the one that fits your schedule.
