Price Rigidity Analysis: Evidence from the E-Commerce Market
https://doi.org/10.18288/1994-5124-2020-5-32-59
Abstract
The article studies price rigidity for food, non-food products and services based on daily data of online retailers in Moscow collected for the period from February 2019 to May 2020. It was found that the average price invariance period was 19.5 days. In addition, there is significant heterogeneity in the frequency of price changes: food prices change more often than non-food ones, and the cost of services changes the least often. The observed price behavior confirms the implications of time- and state-dependent models. The dependence on time is indicated, for example, by the fact that the probability of price changes sharply increases by days 335 and 353 of their invariability. This fact reinforces the conclusions on the presence of seasonality in price changes found in a number of foreign studies. The analysis also suggests that, in March–May 2020, growth in uncertainty caused by the coronavirus pandemic led to firms beginning to change prices more often and by a smaller magnitude. As a result, the share of price increases went up from 50.2% in March–May 2019 to 62.7% in March–May 2020. The number of days in which prices for any goods and services increased rose from 65 to 84 (out of 92 days in March–May). Thus, the results of this paper confirm that pricing behavior on the e-commerce market can vary significantly depending on economic conditions.
About the Authors
A. V. Bozhechkova
Russian Presidential Academy of National Economy and Public Administration;
Gaidar Institute for Eco-nomic Policy
Russian Federation
Russian Federation
Alexandra V. Bozhechkova, Cand. Sci. (Econ.)
82, Vernads-kogo pr., Moscow, 119571
3–5, Gazetnyy per., 125009, Moscow
A. S. Evseev
Russian Presidential Academy of National Economy and Public Administration
Russian Federation
Russian Federation
Alexey S. Evseev
82, Vernadskogo pr., Moscow, 119571
References
1. Bozhechkova A., Grebenkina A., Evseev A. Trendy potrebitel’skoy inflyatsii na osnove analiza tsen onlayn-magazinov [Consumer Inflation Trends Based on Analysis of Prices of Online Stores]. Monitoring ekonomicheskoy situatsii v Rossii: tendentsii i vyzovy sotsial'noekonomicheskogo razvitiya [Monitoring of Russia’s Economic Outlook. Trends and Challenges of Socio-Economic Development], 2020, vol. 116, no. 14, pp. 64-70.
2. Barros R., Bonomo M., Carvalho C., Matos S. Price Setting in a Variable Macroeconomic Environment: Evidence from Brazilian CPI, 2009. https://conference.nber.org/conferences/2009/SI2009/ME/Barros_Bonomo_Carvalho_Matos.pdf.
3. Baudry L., Le Bihan H., Sevestre P., Tarrieu S. What Do Thirteen Million Price Records Have to Say About Consumer Price Rigidity? Oxford Bulletin of Economics and Statistics, 2007, vol. 69, no. 2, pp. 139-183.
4. Bils M., Klenow P. J. Some Evidence on the Importance of Sticky Prices. Journal of Political Economy, 2004, vol. 112, no. 5, pp. 947-985.
5. Calvo G. A. Staggered Prices in a Utility-Maximizing Framework. Journal of Monetary Eco-nomics, 1983, vol. 12, no. 3, pp. 383-398.
6. Campbell J. R., Eden B. Rigid Prices: Evidence from U.S. Scanner Data. International Economic Review, 2014, vol. 55, no. 2, pp. 423-442.
7. Caplin A. S., Spulber D. F. Menu Costs and the Neutrality of Money. The Quarterly Journal of Economics, 1987, vol. 102, no. 4, pp. 703-725.
8. Cavallo A. Scraped Data and Sticky Prices. The Review of Economics and Statistics, 2018, vol. 100, no. 1, pp. 105-119.
9. Creamer K., Rankin N. Price Setting in South Africa 2001-2007 - Stylised Facts Using Consumer Price Micro Data. Journal of Development Perspectives, 2008, vol. 4, no. 1, pp. 93-118.
10. Dhyne E., Alvarez L. J., Le Bihan H., Veronese G., Dias D., Hoffmann J., Jonker N., Lunnemann P., Rumler F., Vilmunen J. Price Changes in the Euro Area and the United States: Some Facts from Individual Consumer Price Data. Journal of Economic Perspectives, 2006, vol. 20, no. 2, pp. 171-192.
11. Dias M. C., Dias D. A., Neves P. D. Stylised Features of Consumer Price Setting Behaviour in Portugal: 1992-2001. Portuguese Economic Journal, 2008, vol. 7, no. 2, pp. 75-99.
12. Dotsey M., King R. G., Wolman A. L. State-Dependent Pricing and the General Equilibrium Dynamics of Money and Output. The Quarterly Journal of Economics, 1999, vol. 114, no. 2, pp. 655-690.
13. Eichenbaum M., Jaimovich N., Rebelo S. Reference Prices, Costs, and Nominal Rigidities. American Economic Review, 2011, vol. 101, no. 1, pp. 234-262.
14. Ellison G., Ellison S. F. Search, Obfuscation, and Price Elasticities on the Internet. Econometrica, 2009, vol. 77, no. 2, pp. 427-452.
15. Gagnon E. Price Setting During Low and High Inflation: Evidence from Mexico. The Quarterly Journal of Economics, 2009, vol. 124, no. 3, pp. 1221-1263.
16. Golosov M., Lucas Jr R. E. Menu Costs and Phillips Curves. Journal of Political Economy, 2007, vol. 115, no. 2, pp. 171-199.
17. Hansen B. W., Hansen N. L. Price Setting Behaviour in Denmark: A Study of CPI Micro Data 1997-2005. Danmarks Nationalbank Working Papers, no. 39, 2006.
18. Higo M., Saita Y. Price Setting in Japan: Evidence from CPI Micro Data. Bank of Japan Working Paper Series, no. 07-E-20, 2007.
19. Klenow P. J., Kryvtsov O. State-Dependent or Time-Dependent Pricing: Does It Matter for Recent U.S. Inflation? NBER Working Paper, no. 11043, 2005.
20. Klenow P. J., Kryvtsov O. State-Dependent or Time-Dependent Pricing: Does It Matter for Recent U.S. Inflation? The Quarterly Journal of Economics, 2008, vol. 123, no. 3, pp. 863-904.
21. Klenow P. J., Malin B. A. Microeconomic Evidence on Price-Setting. In: Handbook of Monetary Economics. Amsterdam, Elsevier, 2010, vol. 3, pp. 231-284.
22. Konieczny J., Skrzypacz A. Inflation and Price Setting in a Natural Experiment. Journal of Monetary Economics, 2005, vol. 52, no. 3, pp. 621-632.
23. Lünnemann P., Wintr L. Price Stickiness in the US and Europe Revisited: Evidence from Internet Prices. Oxford Bulletin of Economics and Statistics, 2011, vol. 73, no. 5, pp. 593-621.
24. Medina J., Rappoport D., Soto C. Dynamics of Price Adjustments: Evidence from Micro Level Data for Chile. Journal Economía Chilena (The Chilean Economy), 2007, vol. 10, no. 2, pp. 5-26.
25. Midrigan V. Menu Costs, Multiproduct Firms, and Aggregate Fluctuations. Econometrica, 2011, vol. 79, no. 4, pp. 1139-1180.
26. Nakamura E. Pass-Through in Retail and Wholesale. American Economic Review, 2008, vol. 98, no. 2, pp. 430-437.
27. Nakamura E., Steinsson J. Five Facts About Prices: A Reevaluation of Menu Cost Models. The Quarterly Journal of Economics, 2008, vol. 123, no. 4, pp. 1415-1464.
28. Nchake M. A., Edwards L., Rankin N. Price-Setting Behaviour in Lesotho: Stylised Facts from Consumer Retail Prices. South African Journal of Economics, 2015, vol. 83, no. 2, pp. 199-219.
29. Nyawo M., Rankin N. What Price-Level Data Tells Us About Consumer Price Rigidity in Zimbabwe: Evidence from New Data. Economic Research Southern Africa Working Paper, no. 609, 2016.
30. Rotemberg J. J. Sticky Prices in the United States. Journal of Political Economy, 1982, vol. 90, no. 6, pp. 1187-1211.
31. Taylor J. B. Aggregate Dynamics and Staggered Contracts. Journal of Political Economy, 1980, vol. 88, no. 1, pp. 1-23.
32. Vermeulen P., Dias D. A., Dossche M., Gautier E., Hernando I., Sabbatini R., Stahl H. Price Setting in the Euro Area: Some Stylized Facts from Individual Producer Price Data. Journal of Money, Credit and Banking, 2012, vol. 44, no. 8, pp. 1631-1650.
Review
For citations:
Bozhechkova A.V., Evseev A.S. Price Rigidity Analysis: Evidence from the E-Commerce Market. Economic Policy. 2020;15(5):32-59. (In Russ.) https://doi.org/10.18288/1994-5124-2020-5-32-59
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