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Data output

Limit the number of scenarios and highlight the insights. Watch Hannes Weigt explain simple rules of result interpretation.

When you finally got your model results there are two things to do: first, you need to make sure the numbers are correct; and second, you need to transfer the numbers into understandable results for your audience.

If you follow the steps provided during this course you hopefully have a working model that indeed produces correct results. But there is always the risk that you made some small errors while writing your model code or constructing your data upload. Always remember: your model software will do whatever you told her, not what you think you told her. So double-check that your coding is correct.

Presenting your results can sometimes be a challenge as you literally produce thousands of numbers. Boil it down to a reasonable reader-friendly summary: use descriptive statistics, aggregate results, show examples, limit the number of scenarios and highlight the insights.

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Exploring Possible Futures: Modeling in Environmental and Energy Economics

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