IDEAS home Printed from https://ideas.repec.org/p/cnb/wpaper/2010-08.html
   My bibliography  Save this paper

Effects of Price Shocks to Consumer Demand. Estimating the QUAIDS Demand System on Czech Household Budget Survey Data

Author

Listed:
  • Kamil Dybczak
  • Peter Toth
  • David Vonka

Abstract

The purpose of his paper is to describe consumer behavior in the Czech Republic by estimating a demand system in which demand depends on income and prices, but also on other factors such as age, size of the household, and position on the labor market. We combine Household Budget Survey data with information on prices from alternative sources between 2000 and 2008. The main focus of our analysis is to provide estimates of both own-and cross-price and income elasticities, which can be used among other things when analyzing the impact of exogenous price changes on consumer demand. Based on our estimates, the commodity bundles of food, energy, and health and bodycare are necessary goods, as their budget elasticity is positive and below one at the same time. Clothing and shoes, transportation and communication, and education and leisure are luxury goods, with income elasticity above one. The own-price elasticities are negative for all commodity groups, as expected. The cross elasticities seem to be smaller than the own elasticities.We found expenditure on energy and transportation and communication to be the most affected by changes in their own prices. We use our estimates to analyze the impact of regulated price changes on consumer demand and discuss the further potential use of our results.

Suggested Citation

  • Kamil Dybczak & Peter Toth & David Vonka, 2010. "Effects of Price Shocks to Consumer Demand. Estimating the QUAIDS Demand System on Czech Household Budget Survey Data," Working Papers 2010/08, Czech National Bank.
  • Handle: RePEc:cnb:wpaper:2010/08
    as

    Download full text from publisher

    File URL: https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2010_08.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Crawford, Ian & Laisney, Francois & Preston, Ian, 2003. "Estimation of household demand systems with theoretically compatible Engel curves and unit value specifications," Journal of Econometrics, Elsevier, vol. 114(2), pages 221-241, June.
    2. Toshinobu Matsuda, 2006. "A trigonometric flexible consumer demand system," Canadian Journal of Economics, Canadian Economics Association, vol. 39(1), pages 145-162, February.
    3. Browning, Martin & Meghir, Costas, 1991. "The Effects of Male and Female Labor Supply on Commodity Demands," Econometrica, Econometric Society, vol. 59(4), pages 925-951, July.
    4. Petr Janský, 2014. "Consumer Demand System Estimation and Value Added Tax Reforms in the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(3), pages 246-273, June.
    5. Meisner, James F., 1979. "The sad fate of the asymptotic Slutsky symmetry test for large systems," Economics Letters, Elsevier, vol. 2(3), pages 231-233.
    6. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    7. Brian P. Poi, 2008. "Demand-system estimation: Update," Stata Journal, StataCorp LP, vol. 8(4), pages 554-556, December.
    8. Karel Janda & Jill J. McCluskey & Gordon C. Rausser, 2000. "Food Import Demand in the Czech Republic," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(1), pages 22-44.
    9. Kamil Dybczak & Peter Tóth & David Voòka, 2014. "Effects of Price Shocks on Consumer Demand: Estimating the QUAIDS Demand System on Czech Household Budget Survey Data," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(6), pages 476-500, December.
    10. Brian P. Poi, 2002. "From the help desk: Demand system estimation," Stata Journal, StataCorp LP, vol. 2(4), pages 403-410, November.
    11. Blundell, Richard, 1988. "Consumer Behaviour: Theory and Empirical Evidence--a Survey," Economic Journal, Royal Economic Society, vol. 98(389), pages 16-65, March.
    12. Giancarlo Moschini & Daniele Moro & Richard D. Green, 1994. "Maintaining and Testing Separability in Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 61-73.
    13. Laura Blow, 2003. "Demographics in demand systems," IFS Working Papers W03/18, Institute for Fiscal Studies.
    14. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    15. Karel Janda & Jakub Mikolášek & Martin Netuka, 2009. "The Estimation of Complete Almost Ideal Demand System from Czech Household Budget Survey Data," Working Papers IES 2009/31, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2009.
    16. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-597, June.
    17. Lewbel, Arthur, 1991. "The Rank of Demand Systems: Theory and Nonparametric Estimation," Econometrica, Econometric Society, vol. 59(3), pages 711-730, May.
    18. Brown, Alan & Deaton, Angus S, 1972. "Surveys in Applied Economics: Models of Consumer Behaviour," Economic Journal, Royal Economic Society, vol. 82(328), pages 1145-1236, December.
    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. Rita Motzigkeit Gonzalez, 2016. "Welfare effects of changed prices The “Tortilla Crisis" revisited," Working Papers 167, Bavarian Graduate Program in Economics (BGPE).
    2. Peter Tóth & Andrej Cupák & Marian Rizov, 2021. "Measuring the efficiency of VAT reforms: a demand system simulation approach," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1218-1243.
    3. Andrej Cupak & Jan Pokrivcak & Marian Rizov, 2016. "Demand for Food Away from Home in Slovakia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 354-369, August.
    4. Petr Janský, 2014. "Consumer Demand System Estimation and Value Added Tax Reforms in the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(3), pages 246-273, June.
    5. Kamil Galuščák & Petr Hlaváč & Petr Jakubík, 2016. "Household resilience to adverse macroeconomic shocks: evidence from Czech microdata," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(3), pages 377-402, May.
    6. Petr Janský & Pavel Hait, 2016. "Inflation Differentials among Czech Households," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(1), pages 71-84.
    7. Kotchofa, Pacem A., "undated". "Expenditure and Price Elasticities of Demand for Cowpeas in Northern Ghana. Implications for Public Policies," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259966, Agricultural and Applied Economics Association.
    8. Braha, Kushtrim & Cupak, Andrej & Qineti, Artan & Pokrivcak, Jan, 2018. "Food Demand System in Transition Economies: Evidence from Kosovo," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 272050, European Association of Agricultural Economists.
    9. Andrej Cupák & Ján Pokrivčák & Marian Rizov, 2016. "Diverzifikácia spotreby potravín na Slovensku [Diversity of Food Consumption in Slovakia]," Politická ekonomie, Prague University of Economics and Business, vol. 2016(5), pages 608-626.
    10. Kamil Dybczak & Peter Tóth & David Voòka, 2014. "Effects of Price Shocks on Consumer Demand: Estimating the QUAIDS Demand System on Czech Household Budget Survey Data," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(6), pages 476-500, December.
    11. garcia, juan manuel & alvarado enciso, alfredo, 2018. "Estimación de elasticidades de demanda de bienes y servicios en Perú mediante los métodos AIDS y QUAIDS [Estimating demand elasticities of goods and services in Peru using the AIDS and QUAIDS metho," MPRA Paper 89282, University Library of Munich, Germany.
    12. Andrej Cupák & Peter Tóth, 2017. "Measuring the Efficiency of VAT reforms: Evidence from Slovakia," Working and Discussion Papers WP 6/2017, Research Department, National Bank of Slovakia.

    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. Petr Janský, 2014. "Consumer Demand System Estimation and Value Added Tax Reforms in the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(3), pages 246-273, June.
    2. Mickaël Beaud & Thierry Blayac & Patrice Bougette & Soufiane Khoudmi & Philippe Mahenc & Stéphane Mussard, 2013. "Estimation du coût d'opportunité des fonds publics pour l'économie française," Working Papers halshs-01077141, HAL.
    3. De Agostini, Paola, 2014. "The effect of food prices and household income on the British diet," ISER Working Paper Series 2014-10, Institute for Social and Economic Research.
    4. Julia Bronnmann & Stefan Guettler & Jens-Peter Loy, 2019. "Efficiency of correction for sample selection in QUAIDS models: an example for the fish demand in Germany," Empirical Economics, Springer, vol. 57(4), pages 1469-1493, October.
    5. Knobel, Alexander (Кнобель, Александр) & Chentsov, Alexander (Ченцов, Александр), 2018. "The Impact of Exchange Rates and Their Volatility on Russia's Foreign Trade, Taking into Account its Membership in EAEU [Влияние Обменных Курсов И Их Волатильности На Внешнюю Торговлю России С Учет," Working Papers 061824, Russian Presidential Academy of National Economy and Public Administration.
    6. Bopape, Lesiba, 2006. "Heterogeneity of Household Food Expenditure Patterns in South Africa," 2006 Annual meeting, July 23-26, Long Beach, CA 21300, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Mette Lunde Christensen, 2002. "Heterogeneity in consumer demands and the income effect: evidence from panel data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C4-1, International Conferences on Panel Data.
    8. Andrej Cupák & Peter Tóth, 2017. "Measuring the Efficiency of VAT reforms: Evidence from Slovakia," Working and Discussion Papers WP 6/2017, Research Department, National Bank of Slovakia.
    9. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    10. Kenneth W. Clements & Antony Selvanathan & Saroja Selvanathan, 1996. "Applied Demand Analysis: A Survey," The Economic Record, The Economic Society of Australia, vol. 72(216), pages 63-81, March.
    11. José M. Labeaga & Ángel López Nicolás, 1993. "Tax simulations for Spain with a flexible demand system," Economics Working Papers 38, Department of Economics and Business, Universitat Pompeu Fabra.
    12. Mette Christensen, 2007. "Integrability of Demand Accounting for Unobservable Heterogeneity: A Test on Panel Data," Economics Discussion Paper Series 0713, Economics, The University of Manchester.
    13. Awudu Abdulai, 2002. "Household Demand for Food in Switzerland. A Quadratic Almost Ideal Demand System," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(I), pages 1-18, March.
    14. A. Montini, 1999. "I consumi alimentari delle famiglie italiane: un modello per le decisioni di consumo extradomestico utilizzando i microdati di spesa familiare," Working Papers 364, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. Ngueuleweu Tiwang, Gildas, 2020. "Ph.D in Economics, Option Agricultural Economics," MPRA Paper 99798, University Library of Munich, Germany, revised 2020.
    16. Andreas Chai, 2018. "Household consumption patterns and the sectoral composition of growing economies: A review of the interlinkages," Discussion Papers in Economics economics:201802, Griffith University, Department of Accounting, Finance and Economics.
    17. Braha, Kushtrim & Cupak, Andrej & Qineti, Artan & Pokrivcak, Jan, 2018. "Food Demand System in Transition Economies: Evidence from Kosovo," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 272050, European Association of Agricultural Economists.
    18. Ben Groom & David Maddison Pr., 2019. "New Estimates of the Elasticity of Marginal Utility for the UK," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(4), pages 1155-1182, April.
    19. Molnár, György & Cseres-Gergely, Zsombor & Szabó, Tibor, 2016. "Pénzt vagy életet?. Empirikus eredmények néhány gazdaságpolitikai beavatkozás heterogén jóléti hatásairól [For money or for life?. Empirical findings on the heterogenous welfare effects of some eco," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 901-943.
    20. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.

    More about this item

    Keywords

    Consumer behavior; demand systems; price and income elasticities; regulated prices.;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

    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:cnb:wpaper:2010/08. 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: Jan Babecky (email available below). General contact details of provider: https://edirc.repec.org/data/cnbgvcz.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.