suppose you have several (~3-4) measures of an economic variable. These measures all come with some degree of measurement error (noise) and it is a-priori unclear which one best represents the underlying phenomen (which one intents to capture). To complicate things, the samples of the measures only partially overlap.

Is there a method to combine the measures to arrive at "a best measure" (i.e. less noisy)? Ideally, the method would result in a point estimate and a confidence intervall.

Alternatively, where would you look for an answer?

Any help would be appreciated,

Svezt