Timeline for Time series regression - Lags of independent variable
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
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| Jul 19, 2018 at 12:57 | comment | added | burton030 | First of all I would question which way is the influence. I am not a politician. But I could imagine that an economic crisis could also lead to political instability. So I think the question is more about correlation of both numbers than of causality? However, maybe there is clear proof in the literature. However, what about simply reporting that t5 showed the strongest correlation? But keep in my mind that for time series there are some "pitfalls" concerning correlation (both variables have a positive trend etc.). | |
| Jul 19, 2018 at 12:51 | vote | accept | frankie96 | ||
| Jul 19, 2018 at 12:51 | |||||
| Jul 19, 2018 at 12:37 | comment | added | frankie96 | Fair point. However, I only have political stability data for the past 15 years therefore I can't go any further back than that. What would you suggest me to do? It is a time series and I am trying to prove that a change in the degree of political stability has an effect (either positive or negative) on the GDP per capita. Thanks. | |
| Jul 19, 2018 at 12:27 | history | answered | burton030 | CC BY-SA 4.0 |