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Testing the Expert Based Weights Used in the UK’s Index of Multiple Deprivation (IMD) Against Three Preference-Based Methods

Author

Listed:
  • Verity Watson

    (University of Aberdeen)

  • Chris Dibben

    (University of Edinburgh)

  • Matt Cox

    (University of St Andrews)

  • Iain Atherton

    (Edinburgh Napier University)

  • Matt Sutton

    (University of Manchester)

  • Mandy Ryan

    (University of Aberdeen)

Abstract

The Index of Multiple Deprivation (IMD), used widely in England, is an important tool for social need and inequality identification. It summarises deprivation across seven dimensions (income, employment, health, education, housing and services, environment, and crime) to measure an area’s multidimensional deprivation. The IMD aggregates the dimensions that are differentially weighted using expert judgement. In this paper, we test how close these weights are to society’s preferences about the relative importance of each dimension to overall deprivation. There is not agreement in the literature on how to do this. This paper, therefore, develops and compares three empirical methods for estimating preference-based weights. We find the weights are similar across the methods, and between our empirical methods and the current IMD, but our findings suggest a change to two of the weights.

Suggested Citation

  • Verity Watson & Chris Dibben & Matt Cox & Iain Atherton & Matt Sutton & Mandy Ryan, 2019. "Testing the Expert Based Weights Used in the UK’s Index of Multiple Deprivation (IMD) Against Three Preference-Based Methods," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1055-1074, August.
  • Handle: RePEc:spr:soinre:v:144:y:2019:i:3:d:10.1007_s11205-018-02054-z
    DOI: 10.1007/s11205-018-02054-z
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    References listed on IDEAS

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    More about this item

    Keywords

    Multidimensional index weights; Deprivation; Preferences;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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