Using weights to adjust for sample selection when auxiliary information is available

Aviv Nevo

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

This article analyzes generalized method of moments estimation when the sample is not a random draw from the population of interest. Auxiliary information, in the form of moments from the population of interest, is exploited to compute weights that are proportional to the inverse probability of selection. The essential idea is to construct weights for each observation in the primary data such that the moments of the weighted data are set equal to the additional moments. The estimator is applied to the Dutch Transportation Panel, in which refreshment draws were taken from the population of interest to deal with heavy attrition of the original panel. It is shown how these additional samples can be used to adjust for sample selection.

Original languageEnglish (US)
Pages (from-to)43-52
Number of pages10
JournalJournal of Business and Economic Statistics
Volume21
Issue number1
DOIs
StatePublished - Jan 2003

Keywords

  • Dutch Transportation Panel
  • General method of moments
  • Panel data
  • Refreshment samples

ASJC Scopus subject areas

  • Statistics and Probability
  • Social Sciences (miscellaneous)
  • Economics and Econometrics
  • Statistics, Probability and Uncertainty

Fingerprint Dive into the research topics of 'Using weights to adjust for sample selection when auxiliary information is available'. Together they form a unique fingerprint.

Cite this