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Forecasting inflation with online prices

Citations

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Cited by:

  1. Kučerová, Zuzana & Pakši, Daniel & Koňařík, Vojtěch, 2024. "Macroeconomic fundamentals and attention: What drives european consumers’ inflation expectations?," Economic Systems, Elsevier, vol. 48(1).
  2. N. F. Dyachkova & E. V. Sinelnikova-Muryleva, 2026. "Calculation and Application of High-Frequency Macroeconomic Indicators: A Case Study Using Russian Data," Studies on Russian Economic Development, Springer, vol. 37(2), pages 206-216, April.
  3. Nason, Guy P. & Palasciano, Henry Antonio, 2026. "Forecasting UK consumer price inflation with RaGNAR: Random generalised network autoregressive processes," International Journal of Forecasting, Elsevier, vol. 42(1), pages 181-202.
  4. Strasser, Georg & Wieland, Elisabeth & Macias, Paweł & Błażejowska, Aneta & Szafranek, Karol & Wittekopf, David & Franke, Jörn & Henkel, Lukas & Osbat, Chiara, 2023. "E-commerce and price setting: evidence from Europe," Occasional Paper Series 320, European Central Bank.
  5. Benchimol, Jonathan & Palumbo, Luigi, 2024. "Sanctions and Russian online prices," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 483-521.
  6. Joseph, Andreas & Potjagailo, Galina & Chakraborty, Chiranjit & Kapetanios, George, 2024. "Forecasting UK inflation bottom up," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1521-1538.
  7. Barkan, Oren & Benchimol, Jonathan & Caspi, Itamar & Cohen, Eliya & Hammer, Allon & Koenigstein, Noam, 2023. "Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 39(3), pages 1145-1162.
  8. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
  9. Zhang, Tao & Tang, Ke & Liu, Taoxiong & Jiang, Tingfeng, 2025. "High frequency online inflation and term structure of interest rates: Evidence from China," Journal of Empirical Finance, Elsevier, vol. 83(C).
  10. Solórzano, Diego, 2024. "Grab a bite? Prices in the food away from home industry during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 435-464.
  11. Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2023. "Nowcasting consumer price inflation using high-frequency scanner data: Evidence from Germany," Discussion Papers 34/2023, Deutsche Bundesbank.
  12. Luca Bacco & Tiziana Laureti & Juri Marcucci & Luigi Palumbo & Daniele Sasso & Luca Vollero, 2026. "Nowcasting the Italian consumer price index using online prices and machine learning," Questioni di Economia e Finanza (Occasional Papers) 1026, Bank of Italy, Economic Research and International Relations Area.
  13. Pijush Kanti Das & Prabir Kumar Das, 2025. "Artificial Intelligence and Inflation Forecasting: A Contemporary Perspective," South Asian Journal of Macroeconomics and Public Finance, , vol. 14(1), pages 133-164, June.
  14. Taylor, Nick, 2026. "Portfolio return prediction and risk price heterogeneity," International Journal of Forecasting, Elsevier, vol. 42(2), pages 434-456.
  15. Christian Beer & Robert Ferstl & Bernhard Graf, 2025. "Improving disaggregated short-term food inflation forecasts with webscraped data (Christian Beer, Robert Ferstl, Bernhard Graf)," Working Papers 262, Oesterreichische Nationalbank (Austrian Central Bank).
  16. Maya Vilenko, 2025. "BiHRNN -- Bi-Directional Hierarchical Recurrent Neural Network for Inflation Forecasting," Papers 2503.01893, arXiv.org.
  17. Panpan Zhu & Qingjie Zhou & Yinpeng Zhang, 2024. "Investor attention and consumer price index inflation rate: Evidence from the United States," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
  18. Xun Huang & Huiyue Tang, 2022. "Measuring multi‐volatility states of financial markets based on multifractal clustering model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 422-434, April.
  19. Dedola, Luca & Ehrmann, Michael & Hoffmann, Peter & Lamo, Ana & Paz-Pardo, Gonzalo & Slacalek, Jiri & Strasser, Georg, 2023. "Digitalisation and the economy," Working Paper Series 2809, European Central Bank.
  20. Mućk, Jakub & Błażejowska, Aneta & Łapszys, Karolina & Szafranek, Karol, 2025. "On the effect of e-commerce’s spread on inflation," Economics Letters, Elsevier, vol. 254(C).
  21. Diego Aparicio & Alberto Cavallo, 2021. "Targeted Price Controls on Supermarket Products," The Review of Economics and Statistics, MIT Press, vol. 103(1), pages 60-71, March.
  22. Barış Soybilgen & M. Ege Yazgan & Hüseyin Kaya, 2023. "Nowcasting Turkish Food Inflation Using Daily Online Prices," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 171-190, September.
  23. Beer, Christian & Ferstl, Robert & Graf, Bernhard, 2026. "Improving disaggregated short-term food inflation forecasts with webscraped data," International Journal of Forecasting, Elsevier, vol. 42(3), pages 1047-1068.
  24. Gonzalo Bueno, 2026. "Inflation and price dynamics analysis using high-frequency data from supermarkets: evidence from Peru," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistics and beyond: new data for decision making in central banks, volume 66, Bank for International Settlements.
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