Hard Numbers: Open Consumer Price Database
Author
Abstract
Suggested Citation
DOI: 10.31477/rjmf.202101.104
Download full text from publisher
References listed on IDEAS
- Silver, Mick & Heravi, Saeed, 2005.
"A Failure in the Measurement of Inflation: Results From a Hedonic and Matched Experiment Using Scanner Data,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 269-281, July.
- Heravi, Saeed & Silver, Mick, 2002. "A failure in the measurement of inflation: results from a hedonic and matched experiment using scanner data," Working Paper Series 144, European Central Bank.
- 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.
- Crystal G. Konny & Brendan K. Williams & David M. Friedman, 2019. "Big Data in the US Consumer Price Index: Experiences and Plans," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 69-98, National Bureau of Economic Research, Inc.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Vladimir Bessonov, 2021. "What Opportunities Do New Technologies Bring About for Price Statistics?," Russian Journal of Money and Finance, Bank of Russia, vol. 80(1), pages 120-126, March.
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.- 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.
- Fernando Alvarez & Francesco Lippi & Juan Passadore, 2017.
"Are State- and Time-Dependent Models Really Different?,"
NBER Macroeconomics Annual, University of Chicago Press, vol. 31(1), pages 379-457.
- Fernando Alvarez & Francesco Lippi & Juan Passadore, 2016. "Are State- and Time-Dependent Models Really Different?," NBER Chapters, in: NBER Macroeconomics Annual 2016, Volume 31, pages 379-457, National Bureau of Economic Research, Inc.
- Fernando Alvarez & Francesco Lippi & Juan Passadore, 2016. "Are State and Time dependent models really different?," EIEF Working Papers Series 1610, Einaudi Institute for Economics and Finance (EIEF), revised Jun 2016.
- Fernando E. Alvarez & Francesco Lippi & Juan Passadore, 2016. "Are State and Time Dependent Models Really Different?," NBER Working Papers 22361, National Bureau of Economic Research, Inc.
- Fernando Alvarez & Francesco Lippi, 2020.
"Temporary Price Changes, Inflation Regimes, and the Propagation of Monetary Shocks,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 12(1), pages 104-152, January.
- Fernando Alvarez & Francesco Lippi, 2018. "Temporary Price Changes, Inflation Regimes and the Propagation of Monetary Shocks," EIEF Working Papers Series 1801, Einaudi Institute for Economics and Finance (EIEF), revised Jan 2018.
- Lippi, Francesco & Alvarez, Fernando, 2018. "Temporary Price Changes, Inflation Regimes and the Propagation of Monetary Shocks," CEPR Discussion Papers 12638, C.E.P.R. Discussion Papers.
- John M. Abowd & Ian M. Schmutte & William Sexton & Lars Vilhuber, 2019. "Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods," Papers 1906.09353, arXiv.org.
- Vincent Hoang & Takao Iida & Shigeru Matsumoto & Natsuki Watanabe & Clevo Wilson, 2016. "Consumer’s comparison between local and imported organic products: a hedonic analysis of the Japanese table wine market," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 405-415, December.
- Erica L. Groshen & Brian C. Moyer & Ana M. Aizcorbe & Ralph Bradley & David M. Friedman, 2017. "How Government Statistics Adjust for Potential Biases from Quality Change and New Goods in an Age of Digital Technologies: A View from the Trenches," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 187-210, Spring.
- Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Suhas Vijaykunar & Shan Wan, 2023.
"Hedonic prices and quality adjusted price indices powered by AI,"
CeMMAP working papers
08/23, Institute for Fiscal Studies.
- Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Suhas Vijaykumar & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Shan Wan, 2023. "Hedonic Prices and Quality Adjusted Price Indices Powered by AI," Papers 2305.00044, arXiv.org.
- Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2021.
"Household Inventory, Temporary Sales, and Price Indices,"
CARF F-Series
CARF-F-520, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Kozo Ueda & Kota Watanabe & Tsutomu Watanabe, 2021. "Household Inventory, Temporary Sales, and Price Indices," Working Papers on Central Bank Communication 033, University of Tokyo, Graduate School of Economics.
- Jennifer Peña & Elvira Prades, 2021. "Price setting in Chile: Micro evidence from consumer on-line prices during the social outbreak and Covid-19," Working Papers 2112, Banco de España.
- Giuseppe Arbia & Vincenzo Nardelli, 2024. "Using Web-Data to Estimate Spatial Regression Models," International Regional Science Review, , vol. 47(2), pages 204-226, March.
- Silver Mick, 2022. "Econometric Issues in Hedonic Property Price Indices: Some Practical Help," Journal of Official Statistics, Sciendo, vol. 38(1), pages 153-186, March.
- Hai Long Vo & Duc Hong Vo, 2023. "The purchasing power parity and exchange‐rate economics half a century on," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 446-479, April.
- Diego Bodas & Juan Ramon Garcia & Juan Murillo & Matias Pacce & Tomasa Rodrigo & Juan de Dios Romero & Pep Ruiz & Camilo Ulloa & Heribert Valero, 2018.
"Measuring Retail Trade Using Card Transactional Data,"
Working Papers
18/03, BBVA Bank, Economic Research Department.
- Diego Bodas & Juan R. García López & Tomasa Rodrigo López & Pep Ruiz de Aguirre & Camilo A. Ulloa & Juan Murillo Arias & Juan de Dios Romero Palop & Heribert Valero Lapaz & Matías J. Pacce, 2019. "Measuring retail trade using card transactional data," Working Papers 1921, Banco de España;Working Papers Homepage.
- Cavallo, Alberto & Kryvtsov, Oleksiy, 2023.
"What can stockouts tell us about inflation? Evidence from online micro data,"
Journal of International Economics, Elsevier, vol. 146(C).
- Alberto Cavallo & Oleksiy Kryvtsov, 2022. "What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data," NBER Chapters, in: NBER International Seminar on Macroeconomics 2022, National Bureau of Economic Research, Inc.
- Alberto Cavallo & Oleksiy Kryvtsov, 2021. "What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data," NBER Working Papers 29209, National Bureau of Economic Research, Inc.
- Alberto Cavallo & Oleksiy Kryvtsov, 2021. "What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data," Staff Working Papers 21-52, Bank of Canada.
- Markus Dertwinkel-Kalt & Mats Köster, 2017.
"Salience and Online Sales: The Role of Brand Image Concerns,"
CESifo Working Paper Series
6787, CESifo.
- Dertwinkel-Kalt, Markus & Köster, Mats, 2018. "Salience and Online Sales: The Role of Brand Image Concerns," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181498, Verein für Socialpolitik / German Economic Association.
- Margaret M. Jacobson & Christian Matthes & Todd B. Walker, 2022. "Inflation Measured Every Day Keeps Adverse Responses Away: Temporal Aggregation and Monetary Policy Transmission," Finance and Economics Discussion Series 2022-054, Board of Governors of the Federal Reserve System (U.S.).
- Fernando Alvarez & Francesco Lippi & Aleksei Oskolkov, 2022. "The Macroeconomics of Sticky Prices with Generalized Hazard Functions [“Optimal Inattention to the Stock Market With Information Costs and Transactions Costs,”]," The Quarterly Journal of Economics, Oxford University Press, vol. 137(2), pages 989-1038.
- Yanele Nyamela & Vasilios Plakandaras & Rangan Gupta, 2020.
"Frequency-dependent real-time effects of uncertainty in the United States: evidence from daily data,"
Applied Economics Letters, Taylor & Francis Journals, vol. 27(19), pages 1562-1566, November.
- Yanele Nyamela & Vasilios Plakandaras & Rangan Gupta, 2018. "Frequency-Dependent Real-Time Effects of Uncertainty in the United States: Evidence from Daily Data," Working Papers 201833, University of Pretoria, Department of Economics.
- Fernando Alvarez & Hervé Le Bihan & Francesco Lippi, 2016.
"The Real Effects of Monetary Shocks in Sticky Price Models: A Sufficient Statistic Approach,"
American Economic Review, American Economic Association, vol. 106(10), pages 2817-2851, October.
- Fernando Alvarez & Hervé Le Bihan & Francesco Lippi, 2016. "The real effects of monetary shocks in sticky price models. A sufficient statistic approach," EIEF Working Papers Series 1608, Einaudi Institute for Economics and Finance (EIEF), revised Apr 2016.
More about this item
Keywords
alternative data; big data; consumer prices;All these keywords.
JEL classification:
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
- C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
Statistics
Access and download statisticsCorrections
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:bkr:journl:v:80:y:2021:i:1:p:104-119. 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: Olga Kuvshinova (email available below). General contact details of provider: https://edirc.repec.org/data/cbrgvru.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.