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Monitoring Human Development Goals: A Straightforward (Bayesian) Methodology for Cross-National Indices

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  • Kobi Abayomi
  • Gonzalo Pizarro

Abstract

We offer a straightforward framework for measurement of progress, across many dimensions, using cross-national social indices, which we classify as linear combinations of multivariate country level data onto a univariate score. We suggest a Bayesian approach which yields probabilistic (confidence type) intervals for the point estimates of country scores—a vital, and often missing, feature in cross-national comparisons. We demonstrate our approach using the United Nations Development Programme’s Millennium Development Goals (MDGs), via the Maternal and Neonatal Program Effort Index (MNPI) data (Ross et al. in Trop Med Inter Health 6(10):787–798, 2001 ), and Human Development Index (HDI) ( 2010 ) as examples. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Kobi Abayomi & Gonzalo Pizarro, 2013. "Monitoring Human Development Goals: A Straightforward (Bayesian) Methodology for Cross-National Indices," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 489-515, January.
    • Handle: RePEc:spr:soinre:v:110:y:2013:i:2:p:489-515
    DOI: 10.1007/s11205-011-9946-y
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    References listed on IDEAS

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    1. Kobi Abayomi & Andrew Gelman & Marc Levy, 2008. "Diagnostics for multivariate imputations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(3), pages 273-291, June.
    2. Wolff, Hendrik & Chong, Howard & Auffhammer, Maximilian, 2008. "Consequences of Data Error in Aggregate Indicators: Evidence from the Human Development Index," CUDARE Working Papers 6502, University of California, Berkeley, Department of Agricultural and Resource Economics.
    3. Wolff, Hendrik & Chong, Howard & Auffhammer, Maximilian, 2008. "Consequences of Data Error in Aggregate Indicators: Evidence from the Human Development Index," IZA Discussion Papers 3346, Institute of Labor Economics (IZA).
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    Cited by:

    1. Qiu, Qihua & Sung, Jaesang & Davis, Will & Tchernis, Rusty, 2018. "Using spatial factor analysis to measure human development," Journal of Development Economics, Elsevier, vol. 132(C), pages 130-149.
    2. Urban Pauli, 2015. "SMEs GROWTH AND HUMAN CAPITAL INVESTMENTS (THE CASE OF POLAND)," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    3. Sorin Romulus Berinde & Partenie Dumbrava, 2015. "CORPORATE GOVERNANCE CHOICE REGARDING SMEs FINANCING STRATEGIES IN ROMANIA," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    4. Cornelia Pop, 2015. "Bucharest Stock Exchange Development Between 1995 And 2015," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    5. Maria-Lenuta Ciupac-Ulici, 2015. "Did European Countries Suffer From Different Calculation Of Hdi?," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    6. Ioan Cristian Chifu & Waseem Eid & Ioan Alin Nistor, 2015. "IT SECTOR DEVELOPMENT IN CLUJ-NAPOCA. THE CASE OF SMEs," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    7. Mehdi Jabbari & Majid Shafiepour Motlagh & Khosro Ashrafi & Ghahreman Abdoli, 2020. "Differentiating countries based on the sustainable development proximities using the SDG indicators," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(7), pages 6405-6423, October.
    8. Ebru a layan-Akay & Muhammed H. Van, 2017. "Determinants of the Levels of Development Based on the Human Development Index:Bayesian Ordered Probit Model," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 425-431.

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