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Upward and downward bias when measuring inequality of opportunity

Author

Listed:
  • Paolo Brunori

    (Università degli Studi di Bari "Aldo Moro")

  • Vito Peragine

    (Università degli Studi di Bari "Aldo Moro")

  • Laura Serlenga

    (Università degli Studi di Bari "Aldo Moro")

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," SERIES 05-2016, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Sep 2016.
  • Handle: RePEc:bai:series:series_wp_05-2016
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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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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