Sample bias in microeconometric analyses of official microdata

@inproceedings{Fazio2006SampleBI,
  title={Sample bias in microeconometric analyses of official microdata},
  author={Gian Fazio and Katherine H. Lam and Felix Ritchie},
  year={2006}
}
Microeconometric analysis is typically carried out on sample datasets; population data is rarely available. A source of contention is therefore always whether the method of data collection should be taken into account, and how. Techniques such as two-step estimators to explicitly take account of the probability of selection are in common use, but these are usually concerned with isolating a sub-sample (for example, the probability of union membership in a sample of the labour force). More… CONTINUE READING