![]() ![]() For example, the first thing in help regress is a syntax diagram which includes, which means you can use weight commands. If you are uncertain whether a command can take a weighting, read its help page help . Most estimation commands can take the first three types of weights. ![]() Importance weights, unlike the other three types, do not have a specific formula and can only be used with certain commands they are primarily useful to programmers and will not be discussed here any further. You can learn more about sampling weights reading this Demographic and Health Survey help page. probability weights) cover situations where random sampling without replacement occurs. The other weighting options are a bit more complicated.Īnalytic weights observations as if each observation is a mean computed from a sample of size n, where n is the weight variable. Basically, by adding a frequency weight, you are telling Stata that a single line represents observations for multiple people. These four weights are frequency weights ( fweight or frequency), analytic weights ( aweight or cellsize), sampling weights ( pweight), and importance weights ( iweight).įrequency weights are the kind you have probably dealt with before. There are four different ways to weight things in Stata.
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