Frontiers of Real-Time Data Analysis
In the past ten years, researchers have explored the impact of data revisions in many different contexts. Researchers have examined the properties of data revisions, how structural modeling is affected by data revisions, how data revisions affect forecasting, the impact of data revisions on monetary...
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Veröffentlicht in: | Journal of economic literature 2011-03, Vol.49 (1), p.72-100 |
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description | In the past ten years, researchers have explored the impact of data revisions in many different contexts. Researchers have examined the properties of data revisions, how structural modeling is affected by data revisions, how data revisions affect forecasting, the impact of data revisions on monetary policy analysis, and the use of real-time data in current analysis. This paper summarizes many of the questions for which real-time data analysis has provided answers. In addition, researchers and institutions have developed better real-time data sets around the world. Still, additional research is needed in key areas and research to date has uncovered even more fruitful areas worth exploring. |
doi_str_mv | 10.1257/jel.49.1.72 |
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subjects | Analytical forecasting Central banks Data analysis Datasets Economic forecasting Economic growth rate Economic models Economic theory Economics Forecasting Forecasting models GDP Gross Domestic Product Impact analysis Macroeconomic modeling Macroeconomics Management Monetary dynamics Monetary policy Phillips curve Real time Researchers Revisions Statistical forecasts Studies Variables |
title | Frontiers of Real-Time Data Analysis |
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