IDEAS home Printed from https://ideas.repec.org/p/unu/wpaper/wp-2018-181.html
   My bibliography  Save this paper

A new inequality estimate for urban India?: Using house prices to estimate inequality in Mumbai

Author

Listed:
  • Gerton Rongen

Abstract

This paper applies a novel inequality estimation method to household consumption expenditure in Mumbai, India. Since the richest households may be missing in survey data, this re-estimated inequality figure takes them into account by combining survey data with house price data. However, application of this method does not indicate that the survey-based Gini coefficient of 0.447 underestimates consumption inequality in Mumbai; none of the ten investigated scenarios yields a higher estimate.

Suggested Citation

  • Gerton Rongen, 2018. "A new inequality estimate for urban India?: Using house prices to estimate inequality in Mumbai," WIDER Working Paper Series wp-2018-181, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2018-181
    as

    Download full text from publisher

    File URL: https://www.wider.unu.edu/sites/default/files/Publications/Working-paper/PDF/wp2018-181.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lucas Chancel & Thomas Piketty, 2019. "Indian Income Inequality, 1922‐2015: From British Raj to Billionaire Raj?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(S1), pages 33-62, November.
    2. Alvaredo, Facundo, 2011. "A note on the relationship between top income shares and the Gini coefficient," Economics Letters, Elsevier, vol. 110(3), pages 274-277, March.
    3. Roy van der Weide & Christoph Lakner & Elena Ianchovichina, 2018. "Is Inequality Underestimated in Egypt? Evidence from House Prices," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(s1), pages 55-79, October.
    4. Piketty, Thomas & Chancel, Lucas, 2017. "Indian income inequality, 1922-2014: From British Raj to Billionaire Raj ?," CEPR Discussion Papers 12409, C.E.P.R. Discussion Papers.
    5. Anton Korinek & Johan Mistiaen & Martin Ravallion, 2006. "Survey nonresponse and the distribution of income," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(1), pages 33-55, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nora Lustig, 2020. "The ``missing rich'' in household surveys: causes and correction approaches," Working Papers 520, ECINEQ, Society for the Study of Economic Inequality.
    2. Nora Lustig, 2019. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," Commitment to Equity (CEQ) Working Paper Series 75, Tulane University, Department of Economics.
    3. Gerton Rongen, 2018. "A new inequality estimate for urban India?: Using house prices to estimate inequality in Mumbai," WIDER Working Paper Series 181, World Institute for Development Economic Research (UNU-WIDER).
    4. Thomas Blanchet & Ignacio Flores & Marc Morgan, 2022. "The weight of the rich: improving surveys using tax data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 119-150, March.
    5. Gaurav Datt & Martin Ravallion & Rinku Murgai, 2020. "Poverty and Growth in India over Six Decades," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 4-27, January.
    6. Channing Arndt & Kristi Mahrt, 2017. "Is inequality underestimated in Mozambique? Accounting for underreported consumption," WIDER Working Paper Series 153, World Institute for Development Economic Research (UNU-WIDER).
    7. Facundo Alvaredo & Lydia Assouad & Thomas Piketty, 2019. "Measuring lnequality in the Middle East 1990–2016: The World’s Most Unequal Region?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 685-711, December.
    8. Peter Lanjouw & Hai-Anh Dang, 2018. "Inequality trends and dynamics in India: The bird’s-eye and the granular perspectives," WIDER Working Paper Series 189, World Institute for Development Economic Research (UNU-WIDER).
    9. Martin Ravallion, 2022. "Missing Top Income Recipients," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 205-222, March.
    10. Hai‐Anh H. Dang & Peter Lanjouw, 2018. "Inequality trends and dynamics in India: The bird's-eye and the granular perspectives," WIDER Working Paper Series wp-2018-189, World Institute for Development Economic Research (UNU-WIDER).
    11. Martin Ravallion, 2018. "What might explain today’s conflicting narratives on global inequality?," WIDER Working Paper Series 141, World Institute for Development Economic Research (UNU-WIDER).
    12. Bartels, Charlotte & Waldenström, Daniel, 2021. "Inequality and top incomes," GLO Discussion Paper Series 959, Global Labor Organization (GLO).
    13. Martin Ravallion, 2018. "What might explain today's conflicting narratives on global inequality?," WIDER Working Paper Series wp-2018-141, World Institute for Development Economic Research (UNU-WIDER).
    14. Piketty, Thomas & Alvaredo, Facundo & Assouad, Lydia, 2017. "Measuring inequality in the Middle East 1990-2016: The World’s Most Unequal Region?," CEPR Discussion Papers 12405, C.E.P.R. Discussion Papers.
    15. Channing Arndt & Kristi Mahrt, 2017. "Is inequality underestimated in Mozambique?: Accounting for underreported consumption," WIDER Working Paper Series wp-2017-153, World Institute for Development Economic Research (UNU-WIDER).
    16. Peter Lanjouw & Hai-Anh Dang, 2018. "Welfare dynamics in India over a quarter-century: Poverty, vulnerability, and mobility, 1987–2012," WIDER Working Paper Series 175, World Institute for Development Economic Research (UNU-WIDER).
    17. Aswini Kumar Mishra & Vedant Bhardwaj, 2021. "Wealth distribution and accounting for changes in wealth inequality: empirical evidence from India, 1991–2012," Economic Change and Restructuring, Springer, vol. 54(2), pages 585-620, May.
    18. Chris Elbers & Peter Lanjouw, 2019. "The distributional impact of structural transformation in rural India: Model-based simulation and case-study evidence," WIDER Working Paper Series wp-2019-33, World Institute for Development Economic Research (UNU-WIDER).
    19. Varsha S Kulkarni & Raghav Gaiha, 2018. "Beyond Piketty: a new perspective on poverty and inequality in India," Global Development Institute Working Paper Series 332018, GDI, The University of Manchester.
    20. Rafael Carranza & Marc Morgan & Brian Nolan, 2023. "Top Income Adjustments and Inequality: An Investigation of the EU‐SILC," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(3), pages 725-754, September.

    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:unu:wpaper:wp-2018-181. 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.

    If CitEc recognized a bibliographic 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.

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