It is predicting the results, thank you so much
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That is good. The next thing you could try is to create a list of time series to get more data, if you assume there are βseasonalβ cycles of the economy.
2018 -> 2017, 2016, 2015
2017 -> 2016, 2015, 2014
And so on. But again. To model such complex developments like unemployment is not so easy. I would not be surprised if a simple average would also not be that far off. And also we are working with absolute numbers of employed people and so on, for a more robust model it might be necessary not normalize or index them.
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