Big Data in the US Consumer Price Index: Experiences and Plans
In: Big Data for Twenty-First-Century Economic Statistics
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- Daniel Melser & Iqbal A. Syed, 2016.
"Life Cycle Price Trends and Product Replacement: Implications for the Measurement of Inflation,"
Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 509-533, September.
- Daniel Melser & Iqbal A. Syed, 2014. "Life Cycle Price Trends and Product Replacement: Implications for the Measurement of Inflation," Discussion Papers 2014-40, School of Economics, The University of New South Wales.
- Ivancic, Lorraine & Erwin Diewert, W. & Fox, Kevin J., 2011.
"Scanner data, time aggregation and the construction of price indexes,"
Journal of Econometrics, Elsevier, vol. 161(1), pages 24-35, March.
- Diewert, Erwin & Fox, Kevin J. & Ivancic, Lorraine, 2009. "Scanner Data, Time Aggregation and the Construction of Price Indexes," Economics working papers erwin_diewert-2009-48, Vancouver School of Economics, revised 22 Sep 2009.
- Alberto Cavallo & Roberto Rigobon, 2016.
"The Billion Prices Project: Using Online Prices for Measurement and Research,"
Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 151-178, Spring.
- Alberto Cavallo & Roberto Rigobon, 2016. "The Billion Prices Project: Using Online Prices for Measurement and Research," NBER Working Papers 22111, National Bureau of Economic Research, Inc.
- Brendan Williams & Erick Sager, 2019. "A New Vehicles Transaction Price Index: Offsetting the Effects of Price Discrimination and Product Cycle Bias with a Year-Over-Year Index," Economic Working Papers 514, Bureau of Labor Statistics.
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- Xavier Jaravel & Erick Sager, 2019. "What are the Price Effects of Trade? Evidence from the U.S. and Implications for Quantitative Trade Models," 2019 Meeting Papers 1320, Society for Economic Dynamics.
- Xavier Jaravel & Erick Sager, 2019. "What are the Price Effects of Trade? Evidence from the U.S. and Implications for Quantitative Trade Models," Finance and Economics Discussion Series 2019-068, Board of Governors of the Federal Reserve System (U.S.).
- Jaravel, Xavier & Sager, Erick, 2019. "What are the Price Effects of Trade? Evidence from the U.S. and Implications for Quantitative Trade Models," CEPR Discussion Papers 13902, C.E.P.R. Discussion Papers.
- Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2021.
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- Carolyn Wolff & Randall Lutter, 2020. "Why are pharmacy acquisition costs and consumer prescription drug price indices apparently diverging?," Health Economics, John Wiley & Sons, Ltd., vol. 29(12), pages 1721-1727, December.
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- Jaravel, Xavier & Sager, Erick, 2019. "What are the Price Effects of Trade? Evidence from the U.S. and Implications for Quantitative Trade Models," CEPR Discussion Papers 13902, C.E.P.R. Discussion Papers.
- Xavier Jaravel & Erick Sager, 2019. "What are the Price Effects of Trade? Evidence from the U.S. and Implications for Quantitative Trade Models," 2019 Meeting Papers 1320, Society for Economic Dynamics.
- Xavier Jaravel & Erick Sager, 2019. "What are the price effects of trade? Evidence from the US and implications for quantitative trade models," CEP Discussion Papers dp1642, Centre for Economic Performance, LSE.
- Xavier Jaravel & Erick Sager, 2019. "What are the Price Effects of Trade? Evidence from the U.S. and Implications for Quantitative Trade Models," Finance and Economics Discussion Series 2019-068, Board of Governors of the Federal Reserve System (U.S.).
- Ilaria Benedetti & Tiziana Laureti & Luigi Palumbo & Brandon M. Rose, 2022. "Computation of High-Frequency Sub-National Spatial Consumer Price Indexes Using Web Scraping Techniques," Economies, MDPI, vol. 10(4), pages 1-20, April.
- Jaravel, Xavier & Sager, Erick, 2019. "What are the price effects of trade? Evidence from the US for quantitative trade models," LSE Research Online Documents on Economics 103402, London School of Economics and Political Science, LSE Library.
- Alex Isakov & Rodion Latypov & Andrey Repin & Egor Postolit & Alexey Evseev & Elena Sinelnikova-Muryleva, 2021. "Hard Numbers: Open Consumer Price Database," Russian Journal of Money and Finance, Bank of Russia, vol. 80(1), pages 104-119, March.
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More about this item
JEL classification:
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
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