ARDL Model Course
Gain expertise in ARDL modelling for time series and monetary policy. Master lag selection, bounds testing, diagnostics, and error correction to create strong, understandable models that support superior statistical and economic choices in real-world applications.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This ARDL Model Course provides a hands-on guide to specifying, estimating, and interpreting ARDL and UECM models for macroeconomic time series analysis. You will master lag selection, bounds testing, cointegration, error-correction mechanisms, diagnostics, structural break tests, and reporting. Develop reliable workflows in standard software to deliver trustworthy, policy-focused results confidently.
Elevify advantages
Develop skills
- Set up ARDL models: Define UECM, select lags, and handle breaks for reliable analysis.
- Prepare time series: Transform data, check stationarity, and create solid macro datasets.
- Estimate ARDL models: Execute runs, interpret results, and resolve issues using key software.
- Conduct bounds testing: Identify cointegration, derive long-run estimates, and verify stability quickly.
- Perform policy analysis: Convert ARDL findings into straightforward, evidence-based 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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