ARDL Model Course
Master ARDL modelling for practical time series analysis and monetary policy work. Gain skills in lag selection, bounds testing, diagnostics, and error correction to create reliable, easy-to-understand models that support better economic and statistical choices in real-world settings.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This ARDL Model Course offers a hands-on guide to specifying, estimating, and interpreting ARDL and UECM models for macroeconomic time series data. You will master lag selection, bounds testing, cointegration checks, error-correction mechanisms, diagnostics, structural break tests, and effective reporting. Build repeatable processes in common software to deliver trustworthy, policy-focused results with assurance.
Elevify advantages
Develop skills
- Set up ARDL models by specifying UECM, lags, and breaks for strong short-term analysis.
- Prepare time series data by transforming it, testing for stationarity, and creating clean macroeconomic panels.
- Estimate ARDL models, interpret results, and address diagnostics using key software tools.
- Conduct bounds testing to identify cointegration, estimate long-run relationships, and check model stability.
- Analyse policy implications by converting ARDL findings into clear, reliable monetary policy recommendations.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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