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forecasting macroeconomic key variables such as GDP. However, the DFM has some weaknesses. For nowcasting, the dynamic factor …
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This paper presents a forecasting exercise that assesses the predictive potential of a daily price index based on online prices. Prices are compiled using web scrapping services provided by the private company PriceStats in cooperation with a finance research corporation, State Street Global...
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This paper documents GDPNow, a "nowcasting" model for gross domestic product (GDP) growth that synthesizes the "bridge … equation" approach relating GDP subcomponents to monthly source data with the factor model approach used by Giannone, Reichlin …, and Small (2008). The GDPNow model forecasts GDP growth by aggregating 13 subcomponents that make up GDP with the chain …
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leverage a novel real-time dataset to conduct an out-of-sample forecasting exercise for U.S. real gross domestic product (GDP …). MF-BVARs are shown to provide an attractive alternative to surveys of professional forecasters for forecasting GDP growth …
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movements of key macroeconomic variables, i.e., CPI inflation, GDP, employment, and an output gap. In particular, questions … output gap and adds information to the benchmark forecasts for GDP and employment. …
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