Hello.

I am curious if there is an easy way to select a proportional sample out oft a panel data that …
  • … is restricted to a specific number of observations (i.e. sample = 100) in the new sample
  • … comes up with the best sample fit (in terms of mean, variance etc.) compared to the population (panel data)
  • … considers (calculates and selects the new sample based on) more than five different measurements/variables
I would like to reduce my panel-data - that contains the whole population - towards a much smaller sample.

It should be still very similar to the original population in the panel data.

Is there anyone that could help me with that?

Thank you.

Konstantin