IDEAS home Printed from https://ideas.repec.org/p/ind/igiwpp/2014-001.html
   My bibliography  Save this paper

Inequality, neighborhoods and variation in prices

Author

Listed:
  • Abhimanyu Dadu

    (Indira Gandhi Institute of Development Research)

  • Namrata Gulati

    (Indira Gandhi Institute of Development Research)

Abstract

In this study we examine the link between of income distribution and wholesale price of wheat using panel data. We have weekly time series data on prices for wheat for 3 districts in Uttar-Pradesh in India obtained from the Department of Economics and Statistics of the Ministry of Agriculture, Government of India (DES-MOA, GOI) for the period 2006-2011. Gini coefficient is calculated on the basis of consumption expenditure collected by National Sample Survey Organisation of India. We find that there is inverted-U shape relation between inequality and level of price for wheat: if we compare a cross-section of societies over the period of time, then price of food grain initially increases with increase in inequality but after a point it starts declining.

Suggested Citation

  • Abhimanyu Dadu & Namrata Gulati, 2014. "Inequality, neighborhoods and variation in prices," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2014-001, Indira Gandhi Institute of Development Research, Mumbai, India.
    • Handle: RePEc:ind:igiwpp:2014-001
    as

    Download full text from publisher

    File URL: http://www.igidr.ac.in/pdf/publication/WP-2014-001.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aaron Nicholas & Ranjan Ray & Ma. Rebecca Valenzuela, 2010. "Evaluating the Distributional Implications of Price Movements: Methodology, Application and Australian Evidence," The Economic Record, The Economic Society of Australia, vol. 86(274), pages 352-366, September.
    2. Muellbauer, John, 1974. "Household composition, Engel curves and welfare comparisons between households : A duality approach," European Economic Review, Elsevier, vol. 5(2), pages 103-122, August.
    3. Marie Daumal, 2013. "The Impact of Trade Openness on Regional Inequality: The Cases of India and Brazil," The International Trade Journal, Taylor & Francis Journals, vol. 27(3), pages 243-280, August.
    4. Manisha Chakrabarty & Amita Majumder & Ranjan Ray, 2015. "Preferences, Spatial Prices and Inequality," Journal of Development Studies, Taylor & Francis Journals, vol. 51(11), pages 1488-1501, November.
    5. Frankel, David M. & Gould, Eric D., 2001. "The Retail Price of Inequality," Journal of Urban Economics, Elsevier, vol. 49(2), pages 219-239, March.
    6. Durgesh Chandra Pathak, 2010. "Poverty and Inequality in Uttar Pradesh during 1993-94 to 2004-05 A Decomposition Analysis," Development Economics Working Papers 23022, East Asian Bureau of Economic Research.
    7. Ankita Mishra & Ranjan Ray, 2011. "Prices, Inequality, And Poverty: Methodology And Indian Evidence," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(3), pages 428-448, September.
    8. Majumder, Amita & Ray, Ranjan & Sinha, Kompal, 2015. "Spatial Comparisons Of Prices And Expenditure In A Heterogeneous Country: Methodology With Application To India," Macroeconomic Dynamics, Cambridge University Press, vol. 19(5), pages 931-989, July.
    9. Sperling, Lena Lindbjerg & Kjøller-Hansen, Anders Oskar, 2012. "Accounting for the effect of health on cross-state income inequality in India," Economics Letters, Elsevier, vol. 115(2), pages 252-255.
    10. Andreas Bergh & Therese Nilsson, 2014. "When More Poor Means Less Poverty: On Income Inequality and Purchasing Power," Southern Economic Journal, John Wiley & Sons, vol. 81(1), pages 232-246, July.
    11. Pendakur, Krishna, 2002. "Taking prices seriously in the measurement of inequality," Journal of Public Economics, Elsevier, vol. 86(1), pages 47-69, October.
    12. Harvey, Andrew, 2006. "Forecasting with Unobserved Components Time Series Models," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 7, pages 327-412, Elsevier.
    13. Rasika P. Chikte, 2011. "Income Convergence and Regional Growth in India," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 12(2), pages 239-269, September.
    14. Mehtabul Azam & Abusaleh Shariff, 2011. "Income Inequality in Rural India: Decomposing the Gini by Income Sources," Economics Bulletin, AccessEcon, vol. 31(1), pages 739-748.
    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. Namrata Gulati & Abhimanyu Dadu, 2014. "Inequality, Neighbourhoods and Variation in Prices," Economics Bulletin, AccessEcon, vol. 34(3), pages 1463-1484.
    2. Ranjan Ray, 2017. "The Role of Prices in Welfare Comparisons: Methodological Developments and a Selective Survey of the Empirical Literature," The Economic Record, The Economic Society of Australia, vol. 93(301), pages 314-332, June.
    3. Manisha Chakrabarty & Amita Majumder & Ranjan Ray, 2015. "Preferences, Spatial Prices and Inequality," Journal of Development Studies, Taylor & Francis Journals, vol. 51(11), pages 1488-1501, November.
    4. Almås, Ingvild & Kjelsrud, Anders, 2017. "Rags and Riches: Relative Prices, Non-Homothetic Preferences, and Inequality in India," World Development, Elsevier, vol. 97(C), pages 102-121.
    5. Clements, Kenneth W. & Gao, Grace, 2012. "Quality, quantity, spending and prices," European Economic Review, Elsevier, vol. 56(7), pages 1376-1391.
    6. Andreas Bergh & Therese Nilsson, 2014. "When More Poor Means Less Poverty: On Income Inequality and Purchasing Power," Southern Economic Journal, John Wiley & Sons, vol. 81(1), pages 232-246, July.
    7. Donaldson, David & Pendakur, Krishna, 2004. "Equivalent-expenditure functions and expenditure-dependent equivalence scales," Journal of Public Economics, Elsevier, vol. 88(1-2), pages 175-208, January.
    8. Gibson, John & Kim, Bonggeun, 2013. "Do the urban poor face higher food prices? Evidence from Vietnam," Food Policy, Elsevier, vol. 41(C), pages 193-203.
    9. Andriana Bellou, 2017. "Male wage inequality and marital dissolution: Is there a link?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(1), pages 40-71, February.
    10. Terasvirta, Timo, 2006. "Forecasting economic variables with nonlinear models," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 8, pages 413-457, Elsevier.
    11. Öğünç, Fethi & Akdoğan, Kurmaş & Başer, Selen & Chadwick, Meltem Gülenay & Ertuğ, Dilara & Hülagü, Timur & Kösem, Sevim & Özmen, Mustafa Utku & Tekatlı, Necati, 2013. "Short-term inflation forecasting models for Turkey and a forecast combination analysis," Economic Modelling, Elsevier, vol. 33(C), pages 312-325.
    12. Boniface Ngah EPO & Jules Médard NANA DJOMO & Mark Wiykiynyuy TANGWA & Éric Dieudonné OBAMA OBAMA, 2023. "Threshold effect of banking on income inequalities in developing countries: the importance of mobile money," Working Papers of the African Governance and Development Institute. 23/073, African Governance and Development Institute..
    13. Aye, Goodness C. & Balcilar, Mehmet & Gupta, Rangan & Majumdar, Anandamayee, 2015. "Forecasting aggregate retail sales: The case of South Africa," International Journal of Production Economics, Elsevier, vol. 160(C), pages 66-79.
    14. Kazuhiro Kumo & Alexandra Koval & Irina Korgun & Olga Trofimenko, 2018. "Foreign Trade and Regional Inequality:The Case of the Russian Federation," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 884-895.
    15. Stewart, Hayden & Dong, Diansheng, 2011. "Variation in retail costs for fresh vegetables and salty snacks across communities in the United States," Food Policy, Elsevier, vol. 36(2), pages 128-135, April.
    16. Stewart, Hayden & Davis, David E., 2005. "Price Dispersion and Accessibility: A Case study of Fast Food," MPRA Paper 7617, University Library of Munich, Germany.
    17. Ross A. Williams, 1978. "Wants and Working Wives: Household Demand and Saving in Australia," The Economic Record, The Economic Society of Australia, vol. 54(1), pages 32-44, April.
    18. Chung, Ching-Fan, 2001. "Modelling demand systems with demographic effects based on the modifying function approach," Economics Letters, Elsevier, vol. 73(3), pages 269-274, December.
    19. de Ree, Joppe & Alessie, Rob & Pradhan, Menno, 2013. "The price and utility dependence of equivalence scales: Evidence from Indonesia," Journal of Public Economics, Elsevier, vol. 97(C), pages 272-281.
    20. Harvey,Andrew C., 2013. "Dynamic Models for Volatility and Heavy Tails," Cambridge Books, Cambridge University Press, number 9781107630024.

    More about this item

    Keywords

    Kalman Filter; Inequality; Prices; Neighborhood; Panel;
    All these keywords.

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ind:igiwpp:2014-001. 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: Shamprasad M. Pujar (email available below). General contact details of provider: https://edirc.repec.org/data/igidrin.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.