Thank you very much for answering.
It is because I have three main independent variables that I would like to shuffle. I observe the behaviour of each x1 x2 and x3. Each measure of x1 x2 x3 varies per city. I want to see if I shuffle the cities and hence the measures each id will be exposed to, if this permute will give me p-values indicating that 95% my real values are larger than the 'fake' models with the shuffled x1 x2 x3 measures. . x1 corresponds to measures from period 1, x2 for period 2 and x3 measures from period3. The three of them are my main explanatory variables. That's why I thought I should permute x1 x2 and x3.
Many thanks.
It is because I have three main independent variables that I would like to shuffle. I observe the behaviour of each x1 x2 and x3. Each measure of x1 x2 x3 varies per city. I want to see if I shuffle the cities and hence the measures each id will be exposed to, if this permute will give me p-values indicating that 95% my real values are larger than the 'fake' models with the shuffled x1 x2 x3 measures. . x1 corresponds to measures from period 1, x2 for period 2 and x3 measures from period3. The three of them are my main explanatory variables. That's why I thought I should permute x1 x2 and x3.
Many thanks.
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