IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/201534.html

Income Inequality: A State-by-State Complex Network Analysis

Author

Listed:
  • Periklis Gogas

    (Department of Economics Democritus University of Thrace, Komotini, 69100, Greece)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Stephen M. Miller

    (Department of Economics, University of Nevada, Las Vegas, Las Vegas, Nevada, 89154-6005, USA)

  • Theophilos Papadimitriou

    (Department of Economics Democritus University of Thrace, Komotini, 69100, Greece)

  • Georgios Antonios Sarantitis

    (Department of Economics Democritus University of Thrace, Komotini, 69100, Greece)

Abstract

This study performs a long-run, inter-temporal analysis of income inequality in the U.S. for the period 1916-2012. We use a) descriptive analysis to examine the evolution of inequality through time and b)complex network tools, more specifically an optimization technique called the Threshold-Minimum Dominating Set,which provides new insighton the pattern income inequality across the U.S. states. Several empirical findings emerge. First,inequality displays a heterogeneous evolution across the four focal sub-periods. Second, the results differ between the inequality measures examined, namely the Top 1% share of income and the Gini coefficient. Finally, groups of similarly behaving states (in terms of inequality) are identified that the U.S. authorities can use to investigate the causes of inequality within the U.S. and implement the appropriate policy interventions.

Suggested Citation

  • Periklis Gogas & Rangan Gupta & Stephen M. Miller & Theophilos Papadimitriou & Georgios Antonios Sarantitis, 2015. "Income Inequality: A State-by-State Complex Network Analysis," Working Papers 201534, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201534
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Mehmet Balcilar & Seyi Saint Akadiri & Rangan Gupta & Stephen M. Miller, 2019. "Partisan Conflict and Income Inequality in the United States: A Nonparametric Causality-in-Quantiles Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 65-82, February.
    2. Mehmet Balcilar & Seyi Saint Akadiri & Rangan Gupta & Stephen M. Miller, 2017. "Partisan Conflict and Income Distribution in the United States: A Nonparametric Causality-in-Quantiles Approach," Working Papers 201741, University of Pretoria, Department of Economics.

    More about this item

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

    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:pre:wpaper:201534. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.