IDEAS home Printed from https://ideas.repec.org/p/cde/cdewps/61.html

Structural Breaks In Consumption Patterns: India, 1952 To 1991

Author

Listed:
  • Brinda Viswanathan

    (Delhi School of Economics)

Abstract

The tests for structural breaks in consumption patterns indicate multiple break points which are not uniform across the population groups and also across commodity groups. Further, the results indicate that the breaks could often be induced by the changes in the data collection methodology of the survey and not due to changes in consumer behaviour alone. Apart from this, there is a shift in the consumption pattern during the mid-1980 in both the mral and the urban sectors. For the lowest expenditure class the shift is away from food items with the mral sector showing a change in the price response and the urban sector showing a change in the total expenditure coefficient. For the middle and the upper expenditure classes the shifts are not only from the food items towards non-food items but also from the 'food' group that includes items like cereals, milk and milk products towards the 'other food' group which includes items like vegetables and fruits. Its causes are found to be changes in preferences as well as the income effect.

Suggested Citation

  • Brinda Viswanathan, 1999. "Structural Breaks In Consumption Patterns: India, 1952 To 1991," Working papers 61, Centre for Development Economics, Delhi School of Economics.
    • Handle: RePEc:cde:cdewps:61
    as

    Download full text from publisher

    File URL: http://www.cdedse.org/pdf/work61.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Ravallion & Gaurav Datt, 1996. "India's Checkered History in Fight against Poverty: Are There Lessons for the Future?," Monash Economics Working Papers archive-33, Monash University, Department of Economics.
    2. R. Radhakrishna & C. Ravi, 1992. "Effects of Growth, Relative Price and Preferences on Food and Nutrition," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 27, pages 303-323.
    3. Dufour, Jean-Marie, 1982. "Generalized Chow Tests for Structural Change: A Coordinate-Free Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 23(3), pages 565-575, October.
    4. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    5. Ray, Ranjan, 1986. "Sensitivity of `optimal' commodity tax rates to alternative demand functional forms : An econometric case study of India," Journal of Public Economics, Elsevier, vol. 31(2), pages 253-268, November.
    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. Ole Boysen, 2019. "When does specification or aggregation across consumers matter for economic impact analysis models? An investigation into demand systems," Empirical Economics, Springer, vol. 56(1), pages 137-172, January.
    2. West, Sarah E. & Williams III, Roberton C., 2007. "Optimal taxation and cross-price effects on labor supply: Estimates of the optimal gas tax," Journal of Public Economics, Elsevier, vol. 91(3-4), pages 593-617, April.
    3. J. V. Meenakshi & Ranjan Ray, 1999. "Regional differences in India's food expenditure pattern: a complete demand systems approach," Journal of International Development, John Wiley & Sons, Ltd., vol. 11(1), pages 47-74.
    4. Surabhi Mittal, 2006. "Structural Shift in Demand for Food: Projections for 2020," Indian Council for Research on International Economic Relations, New Delhi Working Papers 184, Indian Council for Research on International Economic Relations, New Delhi, India.
    5. Goodwin, Barry K., 2024. "A 'Differential' Differential Demand System: An Application to US Meat Demand," 2024 Annual Meeting, July 28-30, New Orleans, LA 343712, Agricultural and Applied Economics Association.
    6. Muhammad Ali Chaudhary & Eatzaz Ahmad & Abid A. Burki & Mushtaq A. Khan, 1999. "Industrial Sector Input Demand Responsiveness and Policy Interventions," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 38(4), pages 1083-1100.
    7. Kandil, Magda & Woods, Jeffrey G., 1995. "A cross-industry examination of the Lucas misperceptions model," Journal of Macroeconomics, Elsevier, vol. 17(1), pages 55-76.
    8. Aguilar, Mª. Isabel & Díaz, Bárbara, 2019. "Length of stay of international tourists in Spain: A parametric survival analysis," Annals of Tourism Research, Elsevier, vol. 79(C).
    9. Antonio Baselice & Antonio Stasi & Francesco Diotallevi & Andrea Marchini & Gianluca Nardone, 2014. "Crescita nei consumi di IV gamma. Un?applicazione del modello AIDS alla domanda italiana di ortofrutta," Economia agro-alimentare, FrancoAngeli Editore, vol. 16(2), pages 11-30.
    10. Mardones, Cristian & Alvial, Esteban, 2024. "Evaluation of a carbon tax in Costa Rica linking a demand system focused on energy goods and an input-output model," Applied Energy, Elsevier, vol. 363(C).
    11. Pierre Bachas & Lucie Gadenne & Anders Jensen, 2024. "Informality, Consumption Taxes, and Redistribution," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(5), pages 2604-2634.
    12. Leonhard K. Lades, 2012. "The impact of differential satiation dynamics on changing consumer behavior, wellbeing, and innovative activity," Papers on Economics and Evolution 2012-16, Philipps University Marburg, Department of Geography.
    13. Gibson, John & Kim, Bonggeun, 2013. "Quality, Quantity, and Nutritional Impacts of Rice Price Changes in Vietnam," World Development, Elsevier, vol. 43(C), pages 329-340.
    14. Timo Boppart, 2014. "Structural Change and the Kaldor Facts in a Growth Model With Relative Price Effects and Non‐Gorman Preferences," Econometrica, Econometric Society, vol. 82, pages 2167-2196, November.
    15. Asatryan, Zareh & Gomtsyan, David, 2020. "The incidence of VAT evasion," ZEW Discussion Papers 20-027, ZEW - Leibniz Centre for European Economic Research.
    16. John Beghin & Jean-Christophe Bureau & Sophie Drogue, 2004. "Calibration of incomplete demand systems in quantitative analysis," Applied Economics, Taylor & Francis Journals, vol. 36(8), pages 839-847.
    17. Guilherme Fonseca Travassos & Alexandre Bragança Coelho & Mary Paula Arends-Kuenning, 2022. "Poverty Among The Elderly: An Application of a Collective Consumption Model in Brazil," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(2), pages 925-951, September.
    18. Toner, Jeremy & Wardman, Mark & Shires, Jeremy & Teklu, Fitsum & Hatfield, Andrew, 2020. "Enhancing rail direct demand models with competition between ticket types using contributions from economic theory and market research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 127-144.
    19. Säll, Sarah, 2015. "Distributional effects of environmental meat taxes in Sweden- Can the poor still eat meat?," Working Paper Series 2015:3, Swedish University of Agricultural Sciences, Department Economics.
    20. Adrian Muller & Eduardo Aguilera & Colin Skinner & Andreas Gattinger, 2016. "Does certified organic farming reduce greenhouse gas emissions from agricultural production? Comment on the McGee study," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 33(4), pages 943-947, December.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
    • O5 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies

    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:cde:cdewps:61. 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: Sanjeev Sharma (email available below). General contact details of provider: https://edirc.repec.org/data/cdudein.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.