Granular data: new horizons and challenges

Committee, Irving Fisher

Granular data: new horizons and challenges

Irving Fisher Committee

No 61 in IFC Bulletins from Bank for International Settlements

Date: 2024 Written 2024-07
ISBN: 978-92-9259-740-5
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http://www.bis.org/ifc/publ/ifcb61.htm (text/html)

Chapters in this book:

Access to CSI for research purposes: Matthias Rumpf
Classification of participants in the foreign exchange market: Amir Khatib
Classifying Job Postings into NAICS Codes: Tatjana Dahlhaus, Reinhard Ellwanger, Gabriela Galassi and Pierre-Yves Yanni
Connecting the dots of the international debate on the standardization and granularity of regulatory data: Massimo Casa
Data and analytics risk management framework for central banking: Maryam Haghighi and Vivianne Taillefer
Determinants of the price of bitcoin: An analysis with machine learning and interpretability techniques: José Manuel Carbó Martinez and Sergio Gorjón Rivas
Estimating effective inflation using scanner data: Younghwan Lee
Estimating the effects of economic indicators on the language used in the business outlook survey: Dave Campbell, Charita Koya and Naveen Rai
Financing imbalances and hetrogeneous effects of monetary policy: Jorge Antonio Pozo Sanchez and Youel Rojas
Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems: Ajit Desai, Jacob Sharples and Anneke Kosse
Granular data: new horizons and challenges for central banks: Joshua Brault, Maryam Haghighi and Bruno Tissot
Granular statistical data - Are we charmed with a blessing or a curse?: Jasminka Dodeva Kovaceva
International trade in creative economy: an analysis with granular data: Andrea Carboni, Marco Di Bella and Flavia Ciccioli
Introductory remarks by IFC: Pablo García Silva
Missing values imputation for Central Balance Sheets Data Office (CSBO) accounting data: Iker González Crespo and Pablo Jiménez Segovia
Narrative monetary policy uncertainty: Charles Martineau, Zissis Poulos, Yuntao Wu, Cameron Thompson, Jun Yuan and John Hull
On the need for granular, forward-looking physical risk data to support policy analysis: Jens Mehrhoff
Payment habits during Covid-19: Evidence from high-frequency transaction data: Tatjana Dahlhaus and Angelika Welte
Property classification with administrative data: The case of the Chilean household price index: Juan José Balsa and Javiera Vasquez
Retail credit estimates in Federal Reserve Board's G.19 "Consumer Credit" Statistical Release: Michael Chernousov
Sectoral uncertainty: Efrem Castelnuovo, Kerem Tuzcuoglu and Luis Uzeda
Statistical Disclosure Control (SDC) for results derived from combined confidential microdata: Jannick Blaschke, Christian Hirsch and Robin Kollmann
Territorial activity in Chile, by macrozone and economic activity: Pablo García Silva
The Eurosystem's granular data on securities, loans and entities - How we use such information today and what we may develop differently next time: Frank Mayerlen
The secret ingredient of being relevant? Microdata. Making the move from ready-made to fresh statistics: Luís Teles Dias and Lígia Maria Nunes
The use of payment transaction data for economic forecasts: Guerino Ardizzi, Giuseppe Bruno, Juri Marcucci, Roberto Iannaccone, Filippo Moauro, Alessandra Righi and Davide Zurlo
Unit labour cost, wages and labour productivity in Canada: A bottom-up analysis: Joshua Brault, Maryam Haghighi, Masoud Nasari and Hashmat Khan
Utility and confidentiality assessment of synthetic company data: Eugenia Koblents Lapteva

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