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Upward and downward bias when measuring inequality of opportunity

Author

Listed:
  • Paolo Brunori

    (Dipartimento di Scienze Economiche e Metodi Matematici, Università di Bari)

  • Vito Peragine

    (Dipartimento di Scienze Economiche e Metodi Matematici, Università di Bari)

  • Laura Serlenga

    (Dipartimento di Scienze Economiche e Metodi Matematici, Università di Bari)

Abstract

We show that, when measuring inequality of opportunity with survey data, scholars incur two types of biases. A well-known downward-bias, due to partial observability of circumstances that affect individual outcome, and an upward bias, which depends on the econometric method used and the quality of the available data. We suggest a simple criterion to balance between the two sources of bias based on cross validation. An empirical application, based on 26 European countries, shows the usefulness of our method.

Suggested Citation

  • Paolo Brunori & Vito Peragine & Laura Serlenga, 2016. "Upward and downward bias when measuring inequality of opportunity," Working Papers 406, ECINEQ, Society for the Study of Economic Inequality.
  • Handle: RePEc:inq:inqwps:ecineq2016-406
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    File URL: http://www.ecineq.org/milano/WP/ECINEQ2016-406.pdf
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    More about this item

    Keywords

    inequality of opportunity; model selection; variance-bias trade-off.;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D3 - Microeconomics - - Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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