Transcription of Macroeconomic Nowcasting and Forecasting with Big Data
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Macroeconomic Nowcasting and Forecasting with Big Data
This paper presents preliminary findings and is being distributed to economists and other interested readers solely to stimulate discussion and elicit comments. The views expressed in this paper are those of the authors and do not necessarily reflect the position of the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors. Federal Reserve Bank of New York Staff Reports Macroeconomic Nowcasting and Forecasting with Big Data Brandyn Bok Daniele Caratelli Domenico Giannone Argia Sbordone Andrea Tambalotti Staff Report No. 830 November 2017 Macroeconomic Nowcasting and Forecasting with Big Data Brandyn Bok, Daniele Caratelli, Domenico Giannone, Argia Sbordone, and Andrea Tambalotti Federal Reserve Bank of New York Staff Reports, no.
New methodologies in time-series econometrics developed over the past two decades have made possible the construction of automated platforms for monitoring macroeconomic conditions in real time.Giannone, Reichlin and Small(2008) built the rst formal and internally consistent statistical framework of this kind by combining models for big data and
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