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Estimation of own- and cross-price elasticities of disaggregated imported and domestic goods in Russia


  • Ivanova Nadezhda



The paper employs panel data analysis to estimate price and income elasticities for disaggregated domestic and imported goods using the Budget Survey of Russian households and prices of imported and domestic goods in Russia. The project is implemented using two types of data: the national level data for average households and households differentiated by income, and the data for the average regional households. Three different specifications of the demand equations: the double-logarithmic, the Linear Approximation to the AIDS, and the specification derived from the maximization of the CES utility function, are estimated for eight categories of traded non-food goods. The application of the instrumental-variable estimators to the regional data enables the endogeneity biases of the elasticity coefficients to be substantially corrected. The results of estimations of elasticities of demand for domestic and imported goods obtained for households differentiated by income indicate certain differences between estimated elasticities. This fact may be important for evaluating the impact of implementation of price and tariff policies on consumers with different levels of income.

Suggested Citation

  • Ivanova Nadezhda, 2005. "Estimation of own- and cross-price elasticities of disaggregated imported and domestic goods in Russia," EERC Working Paper Series 05-13e, EERC Research Network, Russia and CIS.
  • Handle: RePEc:eer:wpalle:05-13e

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    References listed on IDEAS

    1. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    2. McDaniel, Christine A. & Balistreri, Edward J., 2002. "A Discussion on Armington Trade Substitution Elasticities," Working Papers 15856, United States International Trade Commission, Office of Economics.
    3. Varian, Hal R, 1982. "The Nonparametric Approach to Demand Analysis," Econometrica, Econometric Society, vol. 50(4), pages 945-973, July.
    4. Athukorala, Premachandra & Riedel, James, 1994. "Demand and Supply Factors in the Determination of NIE Exports: A Simultaneous Error-Correction Model for Hong Kong: A Comment," Economic Journal, Royal Economic Society, vol. 104(427), pages 1411-1414, November.
    5. Deaton, Angus, 1987. "Estimation of own- and cross-price elasticities from household survey data," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 7-30.
    6. Brown, J David & Earle, John S, 2001. "Competition Enhancing Policies and Infrastructure: Evidence from Russia," CEPR Discussion Papers 3022, C.E.P.R. Discussion Papers.
    7. Deaton, Angus, 1990. "Price elasticities from survey data : Extensions and Indonesian results," Journal of Econometrics, Elsevier, vol. 44(3), pages 281-309, June.
    8. Winters, L. Alan, 1984. "Separability and the specification of foreign trade functions," Journal of International Economics, Elsevier, vol. 17(3-4), pages 239-263, November.
    9. Clinton R. Shiells & Kenneth A. Reinert, 1993. "Armington Models and Terms-of-Trade Effects: Some Econometric Evidence for North America," Canadian Journal of Economics, Canadian Economics Association, vol. 26(2), pages 299-316, May.
    10. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    Cited by:

    1. Baas, Timo & Melzer, Silvia, 2016. "The Macroeconomic Impact of Remittances: A Sending Country Perspective," Annual Conference 2016 (Augsburg): Demographic Change 145631, Verein für Socialpolitik / German Economic Association.
    2. Ibon Galarraga & David Heres Del Valle & Mikel González-Eguino, 2011. "Price Premium for High-Efficiency Refrigerators and Calculation of Price-Elasticities for Close-Substitutes: Combining Hedonic Pricing and Demand Systems," Working Papers 2011-07, BC3.
    3. Sosunov, Kirill & Zamulin, Oleg, 2006. "The inflationary consequences or real exchange rate targeting via accumulation of reserves," BOFIT Discussion Papers 11/2006, Bank of Finland, Institute for Economies in Transition.
    4. Christoph Böhringer & Thomas F. Rutherford & David G. Tarr & Natalia Turdyeva, 2017. "Market Structure and the Environmental Implications of Trade Liberalization: Russia’s Accession to the World Trade Organization," World Scientific Book Chapters,in: Trade Policies for Development and Transition, chapter 20, pages 459-485 World Scientific Publishing Co. Pte. Ltd..
    5. Rutherford, Thomas & Tarr, David, 2008. "Regional household and poverty effects of Russia's accession to the world trade organization," Policy Research Working Paper Series 4570, The World Bank.
    6. Galarraga, Ibon & González-Eguino, Mikel & Markandya, Anil, 2011. "Willingness to pay and price elasticities of demand for energy-efficient appliances: Combining the hedonic approach and demand systems," Energy Economics, Elsevier, vol. 33(S1), pages 66-74.

    More about this item


    Russia; imported and import-competing domestic goods; price and income elasticities of demand; Armington elasticities; household expenditures; Russian regions; income deciles.;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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