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Citations
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Cited by:
- Emiliozzi, Simone & Rondinelli, Concetta & Villa, Stefania, 2025. "Unveiling consumption patterns during COVID-19: Insights from credit cards," Economic Modelling, Elsevier, vol. 147(C).
- Guerino Ardizzi & Andrea Nobili & Giorgia Rocco, 2020. "A game changer in payment habits: evidence from daily data during a pandemic," Questioni di Economia e Finanza (Occasional Papers) 591, Bank of Italy, Economic Research and International Relations Area.
- Carlos Moreno-Pérez & Marco Minozzo, 2025.
"Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news,"
Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 19(3), pages 769-793, September.
- Carlos Moreno Pérez & Marco Minozzo, 2022. "Natural Language Processing and Financial Markets: Semi-supervised Modelling of Coronavirus and Economic News," Working Papers 2228, Banco de España.
- Simone Emiliozzi & Concetta Rondinelli & Stefania Villa, 2023. "Consumption during the Covid-19 pandemic: evidence from Italian credit cards," Questioni di Economia e Finanza (Occasional Papers) 769, Bank of Italy, Economic Research and International Relations Area.
- Aprigliano, Valentina & Emiliozzi, Simone & Guaitoli, Gabriele & Luciani, Andrea & Marcucci, Juri & Monteforte, Libero, 2023.
"The power of text-based indicators in forecasting Italian economic activity,"
International Journal of Forecasting, Elsevier, vol. 39(2), pages 791-808.
- Valentina Aprigliano & Simone Emiliozzi & Gabriele Guaitoli & Andrea Luciani & Juri Marcucci & Libero Monteforte, 2021. "The power of text-based indicators in forecasting the Italian economic activity," Temi di discussione (Economic working papers) 1321, Bank of Italy, Economic Research and International Relations Area.
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More about this item
Keywords
; ; ; ; ; ;JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2019-12-02 (Big Data)
- NEP-EEC-2019-12-02 (European Economics)
- NEP-MAC-2019-12-02 (Macroeconomics)
- NEP-PAY-2019-12-02 (Payment Systems and Financial Technology)
Statistics
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