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Microeconometrics pp 242–266Cite as

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Selection Bias and Self-Selection

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Abstract

The problem of selection bias in economic and social statistics arises when a rule other than simple random sampling is used to sample the underlying population that is the object of interest. The distorted representation of a true population as a consequence of a sampling rule is the essence of the selection problem. Distorting selection rules may be the outcome of decisions of sample survey statisticians, self-selection decisions by the agents being studied, or both.

Keywords

  • Population Distribution
  • Reservation Wage
  • Sample Selection Bias
  • Empirical Content
  • Market Wage

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Authors
  1. James J. Heckman
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Editor information

Editors and Affiliations

  1. University of Wisconsin-Madison, USA

    Steven N. Durlauf

  2. Cornell University, USA

    Lawrence E. Blume

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© 2010 Palgrave Macmillan, a division of Macmillan Publishers Limited

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Heckman, J.J. (2010). Selection Bias and Self-Selection. In: Durlauf, S.N., Blume, L.E. (eds) Microeconometrics. The New Palgrave Economics Collection. Palgrave Macmillan, London. https://doi.org/10.1057/9780230280816_29

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