IDEAS home Printed from https://ideas.repec.org/p/ulp/sbbeta/9921.html
   My bibliography  Save this paper

Consumption and Nutrition:Age - Intake Profiles for Czechoslovakia

Author

Listed:
  • Ruth Miquel
  • François Laisney

Abstract

This paper provides non-parametric estimates of the relation between nutrient intake and age for Czechoslovak individuals, as a function of characteristics of both the individual and the household she lives in, on the basis of household purchases. Results show no significant difference between the age - energy intake profiles of men and women. The decomposition of this intake between carbohydrates, lipids (i.e. fats) and proteins shows a lack of balance in the diet in Czechoslovakia, but significant progress toward a more balance diet has taken place over the period. Finally, household characteristics such as the woman’s level of education, or household income, have at most a marginal impact on these profiles.

Suggested Citation

  • Ruth Miquel & François Laisney, 1999. "Consumption and Nutrition:Age - Intake Profiles for Czechoslovakia," Working Papers of BETA 9921, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:9921
    as

    Download full text from publisher

    File URL: http://beta.u-strasbg.fr/WP/1999/9921.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pitt, Mark M, 1983. "Food Preferences and Nutrition in Rural Bangladesh," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 105-114, February.
    2. Subramanian, Shankar & Deaton, Angus, 1996. "The Demand for Food and Calories," Journal of Political Economy, University of Chicago Press, vol. 104(1), pages 133-162, February.
    3. Bouis, Howarth E. & Haddad, Lawrence J., 1992. "Are estimates of calorie-income fxelasticities too high? : A recalibration of the plausible range," Journal of Development Economics, Elsevier, vol. 39(2), pages 333-364, October.
    4. Strauss, John, 1984. "Joint determination of food consumption and production in rural Sierra Leone : Estimates of a household-firm model," Journal of Development Economics, Elsevier, vol. 14(1), pages 77-103.
    5. Bouis, Howarth E., 1994. "The effect of income on demand for food in poor countries: Are our food consumption databases giving us reliable estimates?," Journal of Development Economics, Elsevier, vol. 44(1), pages 199-226, June.
    6. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    7. Sonia Bhalotra & Cliff Attfield, 1998. "Intrahousehold resource allocation in rural Pakistan: a semiparametric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 463-480.
    8. Behrman, Jere R & Deolalikar, Anil B, 1987. "Will Developing Country Nutrition Improve with Income? A Case Study for Rural South India," Journal of Political Economy, University of Chicago Press, vol. 95(3), pages 492-507, June.
    9. Andrew Chesher, 1997. "Diet Revealed?: Semiparametric Estimation of Nutrient Intake–Age Relationships," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 160(3), pages 389-428, September.
    10. Dasgupta, Partha, 1997. "Nutritional status, the capacity for work, and poverty traps," Journal of Econometrics, Elsevier, vol. 77(1), pages 5-37, March.
    11. Behrman, Jere R. & Wolfe, Barbara L., 1984. "More evidence on nutrition demand : Income seems overrated and women's schooling underemphasized," Journal of Development Economics, Elsevier, vol. 14(1), pages 105-128.
    12. Bhargava, Alok, 1997. "Editor's introduction: Analysis of data on health," Journal of Econometrics, Elsevier, vol. 77(1), pages 1-4, March.
    13. Andrew Chesher, 1998. "Individual demands from household aggregates: time and age variation in the composition of diet," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 505-524.
    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. Herzfeld, Thomas & Huffman, Sonya & Rizov, Marian, 2014. "The dynamics of food, alcohol and cigarette consumption in Russia during transition," Economics & Human Biology, Elsevier, vol. 13(C), pages 128-143.
    2. Herzfeld, Thomas & Huffman, Sonya K. & Rizov, Marian, 2009. "The Dynamics of the Russian Lifestyle During Transition: Changes in Food, Alcohol and Cigarette Consumption," Staff General Research Papers Archive 13116, Iowa State University, Department of Economics.
    3. Herzfeld, Thomas & Huffman, Sonya Kostova & Oskam, Arie J. & Rizov, Marian, 2009. "Changes in Food, Alcohol and Cigarettes Consumption during Transition: Evidence from Russia," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49239, Agricultural and Applied Economics Association.
    4. Céline Bonnet & Pierre Dubois & Valérie Orozco, 2014. "Household food consumption, individual caloric intake and obesity in France," Empirical Economics, Springer, vol. 46(3), pages 1143-1166, May.

    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. Miquel, Ruth & Laisney, François, 2000. "Consumption and nutrition: age - intake profiles for Czechoslovakia 1989 - 1992," ZEW Discussion Papers 00-63, ZEW - Leibniz Centre for European Economic Research.
    2. De Zhou & Xiaohua Yu, 2015. "Calorie Elasticities with Income Dynamics: Evidence from the Literature," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 37(4), pages 575-601.
    3. Mohammad Ali & Kira M. Villa & Janak Joshi, 2018. "Health and hunger: nutrient response to income depending on caloric availability in Nepal," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 611-621, September.
    4. J. Gibson & S. Rozelle, 2002. "How Elastic is Calorie Demand? Parametric, Nonparametric, and Semiparametric Results for Urban Papua New Guinea," Journal of Development Studies, Taylor & Francis Journals, vol. 38(6), pages 23-46.
    5. Ecker, Olivier & Qaim, Matin, 2011. "Analyzing Nutritional Impacts of Policies: An Empirical Study for Malawi," World Development, Elsevier, vol. 39(3), pages 412-428, March.
    6. Nilanjana Roy, 2001. "A semiparametric analysis of calorie response to income change across income groups and gender," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 10(1), pages 93-109.
    7. Bouis, Howarth E. & Novenario-Reese, Mary Jane G., 1997. "The determinants of demand for micronutrients," FCND discussion papers 32, International Food Policy Research Institute (IFPRI).
    8. Kira M. Villa & Christopher B. Barrett & David R. Just, 2011. "Differential Nutritional Responses across Various Income Sources Among East African Pastoralists: Intrahousehold Effects, Missing Markets and Mental Accounting," Journal of African Economies, Centre for the Study of African Economies, vol. 20(2), pages 341-375, March.
    9. Emmanuel Skoufias & Vincenzo Di Maro & Teresa González‐Cossío & Sonia Rodríguez Ramírez, 2009. "Nutrient consumption and household income in rural Mexico," Agricultural Economics, International Association of Agricultural Economists, vol. 40(6), pages 657-675, November.
    10. Santeramo, Fabio Gaetano & Shabnam, Nadia, 2015. "The income-elasticity of calories, macro and micro nutrients: What is the literature telling us?," MPRA Paper 63754, University Library of Munich, Germany.
    11. Nolan Miller & Robert Jensen, 2015. "Do Consumer Price Subsidies Really Improve Nutrition?," Working Papers id:7494, eSocialSciences.
    12. Jorge Valero-Gil & Magali Valero, 2013. "Nutritional Intake and Poverty in Mexico: 1984--2010," Journal of Development Studies, Taylor & Francis Journals, vol. 49(10), pages 1375-1396, October.
    13. Biswabhusan Bhuyan & Bimal Kishore Sahoo & Damodar Suar, 2020. "Quantile Regression Analysis of Predictors of Calorie Demand in India: An Implication for Sustainable Development Goals," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(4), pages 825-859, December.
    14. Jumrani, Jaya, 2023. "How responsive are nutrients in India? Some recent evidence," Food Policy, Elsevier, vol. 114(C).
    15. Abdulai, Awudu & Aubert, Dominique, 2002. "Does Income Really Matter? Nonparametric and Parametric Estimates of the Demand for Calories in Tanzania," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24863, European Association of Agricultural Economists.
    16. Adebayo B. Aromolaran, 2010. "Does increase in women's income relative to men's income increase food calorie intake in poor households? Evidence from Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 41(3‐4), pages 239-249, May.
    17. Salois, Matthew & Tiffin, Richard & Balcombe, Kelvin, 2010. "Calorie and Nutrient Consumption as a Function of Income: A Cross-Country Analysis," MPRA Paper 24726, University Library of Munich, Germany.
    18. Robert T. Jensen & Nolan H. Miller, 2010. "Do Consumer Price Subsidies Really Improve Nutrition?," NBER Working Papers 16102, National Bureau of Economic Research, Inc.
    19. Skoufias, Emmanuel, 2002. "The sensitivity of calorie-income demand elasticity to price changes," FCND briefs 141, International Food Policy Research Institute (IFPRI).
    20. Franque Grimard, 1996. "Does the Poor’s Consumption of Calories Respond to Changes in Income? Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 35(3), pages 257-283.

    More about this item

    Keywords

    Nutrition; Household Budget Data; Demand Analysis; Penalised Least Squares;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • 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:ulp:sbbeta:9921. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bestrfr.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.