Estimating hedonic price indexes for personal computers in russia: Case of Yekaterinburg

Parkhomenko, Alexander and Redkina, Anastasia and Maslivets, Olga (2007): Estimating hedonic price indexes for personal computers in russia: Case of Yekaterinburg.

Abstract

Economists have been noting for decades that Consumer Price Index (CPI) in the developed countries is overstating inflation by 0,5−2,0% per year. A significant part of the bias is due to the presence of technology products and differentiated products in the CPI basket. An increase share of these products in the Russian CPI may also lead to a substantial upward bias. Nowadays hedonic indices are believed to be the most efficient way to reduce this bias. They can be used in two ways: to estimate the bias in CPI and to elaborate alternative official price indices for information and communication technology (ICT) products. We estimate a 25% fall in the price of personal computers for 20 months (03.04-11.05) using this method. A 25−44% upward bias in price index for PC in Russia was also calculated. We have found that the Russian CPI could be upward biased by 0,18-0,32% per year due to new goods and quality change effects for PC (given 1% expenditure share).

• Item Type: MPRA Paper
• Institution: Higher School of Economics
• Language: English
• Keywords: CPI; price index; hedonic price index; CPI bias
• Subjects: E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation; C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C43 - Index Numbers and Aggregation

References

1. Berndt, Ernst R. and Neal J. Rappaport (2001), “Price and Quality of Desktop and Mobile Personal Computers: A Quarter-Century Historical Overview”, American Economic Review, Vol.91(2), May, pp. 268–273. 2. Berndt, Ernst R., Zvi Griliches and Neal Rappaport (1995), “Econometric Estimates of Prices in Indexes for Personal Computers in the 1990s”, Journal of Econometrics, Vol. 68(1), pp. 243–268. 3. Boskin, M.J. (Chair), E.R. Dullberger, R.J. Gordon, Z. Griliches and D.W. Jorgenson. (1996), Final Report of the Commission to Study the Consumer Price Index, U.S. Senate: Committee on Finance. 4. Crawford, Allan (1998), “Measurement biases in the Canadian CPI: An update?”, Bank of Canada Review, Spring, pp. 38–56. 5. Cunningham, Alastair W.F. (1996), “Measurement Bias in Price Indexes: An Application to the UK’s RPI”, Bank of England Working Paper No.47: Bank of England. 6. Figueiredo J. and Kyle M. (2003) “Surviving the Gales of Creative Destruction: The Determinants of Product Turnover”. Hausman Jerry A., Pakes Ariel and Rosston Gregory L. (1997), “Valuing the Effects of Regulation on New Services in Telecommunication”, Brooking Papers on Economic Activity. Microeconomics, Vol. 1997, pp. 1–54. 7. Greenstein S., Wade J. (1998) “The Product Life Cycle in the Commercial Mainframe Computer Market,” Rand Journal of Economics, 1998. 8. Greenstein S., Wade J. (2006) “Empirical Determinants of Product Obsolescence and the Product Cycle: An Application to the Commercial Mainframe Computer Market”. 9. Pakes A. (2002), “A Reconsideration of hedonic price indexes with an application to PCs”. NBER Working Paper No.8715, January: NBER. 10. Shiratsuka, Shigenori, (1999), “Measurement errors in Japanese Consumer Price Index”, Federal Reserve Bank in Chicago Working Paper.