ARDL Model Course
Gain expertise in ARDL modelling for practical time series and monetary policy work. Master lag selection, bounds testing, diagnostics, and error correction to create strong, easy-to-understand models that support smarter economic and statistical choices in real Kenyan contexts.

from 4 to 360h flexible workload
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 analysis. You will master lag selection, bounds testing, cointegration, error-correction mechanisms, diagnostics, structural break tests, and effective reporting. Develop reliable workflows using common 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: Clean, test stationarity, and structure macroeconomic data effectively.
- Estimate ARDL models: Execute runs, interpret results, and resolve issues in key software.
- Conduct bounds testing: Identify cointegration, derive long-run estimates, and check stability quickly.
- Apply to policy: 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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