The Demand For Food Quality In Russia And Its Linkage To Obesity
Abstract
This study analyses whether Russian households differ in their choice of food quality when they differ in their number of overweight and obese members. Using survey data from the Russia Longitudinal Monitoring Survey (RLMS) for the years 1995-2005, households are classified into three weight groups. Quality elasticities of expenditures are estimated by a fixed-effects panel model regressing unit values of several food groups on expenditures and a set of household characteristics. Coefficients for each weight group are received by including interaction terms of expenditures and weight group dummies. A set of Wald tests is applied to test for slope heterogeneity across weight groups. Descriptive statistics reveal that obese households actually purchase larger quantities and pay less per unit for many food products. However, estimates of the quality elasticity show low absolute values and range from -0.2 to 1.1 for single food groups and the null hypothesis of equal parameters for all weight groups cannot be rejected.Download Info
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.Bibliographic Info
Paper provided by European Association of Agricultural Economists in its series 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany with number 116444.Length:
Date of creation: 2010
Date of revision:
Handle: RePEc:ags:eaa115:116444
Contact details of provider:
Email:
Web page: http://www.eaae.org
More information through EDIRC
Related research
Keywords: unit values; quality choice; quality elasticity; obesity; Russia; RLMS; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Health Economics and Policy; C23; D12; I10; I18; Q18;Find related papers by JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- I10 - Health, Education, and Welfare - - Health - - - General
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Xiaohua Yu & David Abler, 2009. "The Demand for Food Quality in Rural China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 57-69.
- Deaton, Angus, 1988.
"Quality, Quantity, and Spatial Variation of Price,"
American Economic Review,
American Economic Association, vol. 78(3), pages 418-30, June.
- Deaton, A., 1988. "Quality, Quantity, And Spatial Variation Of Price," Papers 30, World Bank - Living Standards Measurement.
- Subramanian, S. & Deaton, A., 1994.
"The Demand for Food and Calories,"
Papers
175, Princeton, Woodrow Wilson School - Development Studies.
- Subramanian, Shankar & Deaton, Angus, 1996. "The Demand for Food and Calories," Journal of Political Economy, University of Chicago Press, vol. 104(1), pages 133-62, February.
- Corinna Manig & Alessio Moneta, 2009.
"More Or Better? Measuring Quality Versus Quantity In Food Consumption,"
Papers on Economics and Evolution
2009-13, Max Planck Institute of Economics, Evolutionary Economics Group.
- Corinna Manig & Alessio Moneta, 2009. "More or Better ? Measuring Quality versus Quantity in Food Consumption," LEM Papers Series 2009/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Beatty, Timothy K.M., 2007. "The Scope of the Unit Value Problem," Consumer and Market Demand Network Papers 6833, University of Alberta, Department of Resource Economics and Environmental Sociology.
- Steven Stillman & Duncan Thomas, 2008. "Nutritional Status During an Economic Crisis: Evidence from Russia," Economic Journal, Royal Economic Society, vol. 118(531), pages 1385-1417, 08.
- Huffman, Sonya K. & Rizov, Marian, 2007.
"Determinants of Obesity in Transition Economies: The Case of Russia,"
Staff General Research Papers
12830, Iowa State University, Department of Economics.
- Huffman, Sonya K. & Rizov, Marian, 2007. "Determinants of obesity in transition economies: The case of Russia," Economics & Human Biology, Elsevier, vol. 5(3), pages 379-391, December.
Citations
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:ags:eaa115:116444For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.

