If you missed our focused session on carbon emissions modeling using Haver Analytics® data and the analytical power of MATLAB, you can watch the recording on this page below. Designed for professionals in economics, policy-making, and quantitative analysis, this webinar provides practical insights into applying econometric techniques to forecast emissions trends and analyze climate-related data.
Webinar: Modeling Carbon Emissions – An Econometric Approach
Key Takeaways:
This 30-minute session explores:
- Data Integration: How to seamlessly import Haver Analytics® data into MATLAB via the HaverView API for streamlined analysis.
- Advanced Econometric Methods: Learn how State Space modeling and Bayesian nonlinear non-Gaussian state-space models (BNLSSM) can be applied to estimate and forecast carbon emissions.
- Practical Insights: Understand the role of climate-related data in the global energy transition, as presented by Andrew Cates, Senior Economist at Haver Analytics.
Presenters:
Andrew Cates, Senior Economist, Haver Analytics: Andy will provide insights into the datasets and the role they play in analyzing climate trends and energy transition.
Sofia Ma, Senior Engineer, MathWorks: Sofia will demonstrate how MATLAB’s Econometrics Toolbox can be used for modeling carbon emissions using advanced techniques.
This webinar offers a clear, data-driven approach to emissions modeling that aligns with the practical needs of professionals working with climate and economic data.
For more info please email [email protected]
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