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Information Theoretic Competitiveness Composite Indicator at Micro Level

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  • Rosa Bernardini Papalia
  • Pinuccia Calia
  • Carlo Filippucci

Abstract

In this paper we study the potentialities of a multivariate index approach for measuring competitiveness. Our proposal aims at developing a multidimensional economic performance index that could be used to measure and compare competitiveness at different level of aggregation (country, region or sector) with a micro-level foundation. The basic idea is to analyse the firm competitiveness by means of multivariate inequality indexes following the approach of Maasoumi (The measurement and decomposition of multidimensional inequality. Econometrica 991–997, 1986 ). An empirical analysis of the multidimensional economic performance index is also provided in terms of profitability, productivity as well as output growth using micro-data for Italian firms for the year 2008. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Rosa Bernardini Papalia & Pinuccia Calia & Carlo Filippucci, 2015. "Information Theoretic Competitiveness Composite Indicator at Micro Level," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(2), pages 349-370, September.
    • Handle: RePEc:spr:soinre:v:123:y:2015:i:2:p:349-370
    DOI: 10.1007/s11205-014-0745-0
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    References listed on IDEAS

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    1. Maria Ana Lugo & Esfandiar Maasoumi, 2008. "Multidimensional Poverty Measures from an Information Theory Perspective," Working Papers 85, ECINEQ, Society for the Study of Economic Inequality.
    2. VAN KERM Philippe, 2007. "Extreme incomes and the estimation of poverty and inequality indicators from EU-SILC," IRISS Working Paper Series 2007-01, IRISS at CEPS/INSTEAD.
    3. Maria Ana Lugo, 2005. "Comparing Multidimensional Indices of Inequality: methods and application," Working Papers 14, ECINEQ, Society for the Study of Economic Inequality.
    4. Reinert, Erik S., 1995. "Competitiveness and its predecessors--a 500-year cross-national perspective," Structural Change and Economic Dynamics, Elsevier, vol. 6(1), pages 23-42, March.
    5. Joseph Deutsch & Jacques Silber, 2005. "Measuring Multidimensional Poverty: An Empirical Comparison Of Various Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(1), pages 145-174, March.
    6. David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 463-489, December.
    7. Jacques Silber, 2007. "Measuring poverty: taking a multidimensional perspective," Hacienda Pública Española / Review of Public Economics, IEF, vol. 182(3), pages 29-74, September.
    8. Louis-Marie Asselin, 2009. "Analysis of Multidimensional Poverty," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, edition 1, number 978-1-4419-0843-8, November.
    9. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    10. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    11. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    12. Carlo Altomonte & Giorgio Barba Navaretti & Filippo di Mauro & Gianmarco Ottaviano, 2011. "Assessing competitiveness- how firm-level data can help," Policy Contributions 643, Bruegel.
    13. Frikkie Booysen & Ronelle Burger & Gideon Du Rand & Michael von Maltitz & Servaas Van der Berg, 2007. "Trends in Poverty and Inequality in Seven African Countries," Working Papers PMMA 2007-06, PEP-PMMA.
    14. Giovanni Ferro Luzzi & Yves Flückiger & Sylvain Weber, 2008. "A Cluster Analysis of Multidimensional Poverty in Switzerland," Palgrave Macmillan Books, in: Nanak Kakwani & Jacques Silber (ed.), Quantitative Approaches to Multidimensional Poverty Measurement, chapter 4, pages 63-79, Palgrave Macmillan.
    15. Kai-yuen Tsui, 2002. "Multidimensional poverty indices," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 19(1), pages 69-93.
    16. Maasoumi, Esfandiar, 1986. "The Measurement and Decomposition of Multi-dimensional Inequality," Econometrica, Econometric Society, vol. 54(4), pages 991-997, July.
    17. A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 51-65, April.
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    More about this item

    Keywords

    Inequality; Multidimensional index; Decomposition; Information theory; Competitiveness; Firm data; C20; D63;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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