IDEAS home Printed from https://ideas.repec.org/p/mlb/wpaper/778.html
   My bibliography  Save this paper

Clusters of Attributes and Well-Being in the US

Author

Listed:
  • Hirschberg, J.G.
  • Maasoumi, E.
  • Slottje, D.J.

Abstract

Using ARIMA models and entropy, the dynamic evolution of several functions of aggregate income and other attributes of well-being is analyzed for statistical "similarity" in order to determine potentially distinct dimensions in multidimensional analysis of welfare and quality of life in the US. The entropy metric compares entire distributions and is more general than principal components and other correlation-based techniques for clustering. To help macroeconomic policy makers, we compare the distribution of several composite measures of well-being, including income, with the distribution of some common measures of aggregate income over the period 1915-1995.

Suggested Citation

  • Hirschberg, J.G. & Maasoumi, E. & Slottje, D.J., 2001. "Clusters of Attributes and Well-Being in the US," Department of Economics - Working Papers Series 778, The University of Melbourne.
  • Handle: RePEc:mlb:wpaper:778
    as

    Download full text from publisher

    File URL: http://www.economics.unimelb.edu.au/downloads/wpapers-00-01/778.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Maharaj, E.A., 1994. "A Significance Test for Classifying ARMA Models," Monash Econometrics and Business Statistics Working Papers 18/94, Monash University, Department of Econometrics and Business Statistics.
    2. Gyourko, Joseph & Tracy, Joseph, 1991. "The Structure of Local Public Finance and the Quality of Life," Journal of Political Economy, University of Chicago Press, vol. 99(4), pages 774-806, August.
    3. William D. Nordhaus & James Tobin, 1973. "Is Growth Obsolete?," NBER Chapters,in: The Measurement of Economic and Social Performance, pages 509-564 National Bureau of Economic Research, Inc.
      • William D. Nordhaus & James Tobin, 1972. "Is Growth Obsolete?," NBER Chapters,in: Economic Research: Retrospect and Prospect, Volume 5, Economic Growth, pages 1-80 National Bureau of Economic Research, Inc.
    4. Roback, Jennifer, 1982. "Wages, Rents, and the Quality of Life," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1257-1278, December.
    5. Hirschberg, Joseph G. & Maasoumi, Esfandiar & Slottje, Daniel J., 1991. "Cluster analysis for measuring welfare and quality of life across countries," Journal of Econometrics, Elsevier, vol. 50(1-2), pages 131-150, October.
    6. Jorgenson, Dale W. & Slesnick, Daniel T., 1990. "Inequality and the standard of living," Journal of Econometrics, Elsevier, vol. 43(1-2), pages 103-120.
    7. Maasoumi, Esfandiar & Racine, Jeff, 2002. "Entropy and predictability of stock market returns," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 291-312, March.
    8. Slottje, Daniel J, 1991. "Measuring the Quality of Life across Countries," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 684-693, November.
    9. A. B. Atkinson & F. Bourguignon, 1982. "The Comparison of Multi-Dimensioned Distributions of Economic Status," Review of Economic Studies, Oxford University Press, vol. 49(2), pages 183-201.
    10. Blin, Jean-Marie & Cohen, Claude, 1977. "Technological Similarity and Aggregation in Input-Output Systems: A Cluster-Analytic Approach," The Review of Economics and Statistics, MIT Press, vol. 59(1), pages 82-91, February.
    11. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    12. Bart Hobijn & Philip Hans Franses, 2000. "Asymptotically perfect and relative convergence of productivity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 59-81.
    13. Maasoumi, Esfandiar & Jeong, Jin Ho, 1985. "The trend and the measurement of world inequality over extended periods of accounting," Economics Letters, Elsevier, vol. 19(3), pages 295-301.
    14. Maasoumi, Esfandiar & Nickelsburg, Gerald, 1988. "Multivariate Measures of Well-Being and an Analysis of Inequality in the Michigan Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 326-334, July.
    15. Blomquist, Glenn C & Berger, Mark C & Hoehn, John P, 1988. "New Estimates of Quality of Life in Urban Areas," American Economic Review, American Economic Association, vol. 78(1), pages 89-107, March.
    16. Easterly, William, 1999. "Life during Growth," Journal of Economic Growth, Springer, vol. 4(3), pages 239-276, September.
    17. Maasoumi, Esfandiar, 1986. "The Measurement and Decomposition of Multi-dimensional Inequality," Econometrica, Econometric Society, vol. 54(4), pages 991-997, July.
    18. Serge-Christophe Kolm, 1977. "Multidimensional Egalitarianisms," The Quarterly Journal of Economics, Oxford University Press, vol. 91(1), pages 1-13.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wiebke Kuklys & Ingrid Robeyns, 2004. "Sens's Capability Approach to Welfare Economics," Papers on Strategic Interaction 2004-03, Max Planck Institute of Economics, Strategic Interaction Group.
    2. Rahman, Tauhidur & Mittelhammer, Ron C. & Wandschneider, Philip R., 2011. "Measuring quality of life across countries: A multiple indicators and multiple causes approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(1), pages 43-52, February.
    3. Joseph G. Hirschberg & Jenny N. Lye, 2001. "Clustering in a Data Envelopment Analysis Using Bootstrapped Efficiency Scores," Department of Economics - Working Papers Series 800, The University of Melbourne.
    4. Žmuk Berislav, 2015. "Quality of Life Indicators in Selected European Countries: Hierarchical Cluster Analysis Approach," Croatian Review of Economic, Business and Social Statistics, De Gruyter Open, vol. 1(1-2), pages 42-54, December.
    5. Martin Binder, 2014. "Subjective Well-Being Capabilities: Bridging the Gap Between the Capability Approach and Subjective Well-Being Research," Journal of Happiness Studies, Springer, vol. 15(5), pages 1197-1217, October.
    6. Kuklys, W. & Robeyns, I., 2004. "Sen’s Capability Approach to Welfare Economics," Cambridge Working Papers in Economics 0415, Faculty of Economics, University of Cambridge.
    7. Esfandiar Maasoumi & Le Wang, 2008. "Economic Reform, Growth and Convergence in China," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 128-154, March.
    8. Maasoumi, Esfandiar & Racine, Jeff, 2002. "Entropy and predictability of stock market returns," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 291-312, March.
    9. Nesson, Erik T. & Robinson, Joshua J., 2015. "An information theory based framework for the measurement of population health," Economics & Human Biology, Elsevier, vol. 17(C), pages 86-103.
    10. Paul Makdissi & Quentin Wodon, 2001. "Defining and Measuring (Extreme) Poverty," Cahiers de recherche 04-05, Departement d'Economique de l'École de gestion à l'Université de Sherbrooke, revised 2004.
    11. Daniel L. Millimet & Esfandiar Maasoumi, 2005. "Robust inference concerning recent trends in US environmental quality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 55-77.
    12. Roma Debnath & Ravi Shankar, 2014. "Does Good Governance Enhance Happiness: A Cross Nation Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 235-253, March.
    13. Rahman, Tauhidur & Mittelhammer, Ron C. & Wandschneider, Philip, 2005. "Measuring the Quality of Life across Countries: A Sensitivity Analysis of Well-being Indices," WIDER Working Paper Series 006, World Institute for Development Economic Research (UNU-WIDER).
    14. Wiebke Kuklys, 2004. "Measuring Standard of Living in the UK - An Application of Sen's Functioning Approach Using Structural Equation Models," Papers on Strategic Interaction 2004-11, Max Planck Institute of Economics, Strategic Interaction Group.

    More about this item

    Keywords

    Time Series; Information Measures; Aggregate Well-being; Entropy;

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mlb:wpaper:778. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dandapani Lokanathan). General contact details of provider: http://edirc.repec.org/data/demelau.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.