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Where Are We Now? Real-Time Estimates of the Macro Economy Author info | Abstract | Publisher info | Download info | Related research | Statistics Evans, Martin D.D.
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This paper describes a method for calculating daily real-time estimates of the current state of the US economy. The estimates are computed from data on scheduled US macroeconomic announcements using an econometric model that allows for variable reporting lags, temporal aggregation, and other complications in the data. The model can be applied to find real-time estimates of GDP, inflation, unemployment or any other macroeconomic variable of interest. In this paper I focus on the problem of estimating the current level of and growth rate in GDP. I construct daily real-time estimates of GDP that incorporate public information known on the day in question. The real-time estimates produced by the model are uniquely suited to studying how perceived developments the macro economy are linked to asset prices over a wide range of frequencies. The estimates also provide, for the first time, daily time series that can be used in practical policy decisions.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
5270.
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Date of creation: Oct 2005Date of revision:
Handle: RePEc:cpr:ceprdp:5270Contact details of provider: Postal: Centre for Economic Policy Research, 53--56 Great Sutton Street, London EC1V 0DG Phone: 44 - 20 - 7183 8801 Fax: 44 - 20 - 7183 8820
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Keywords: forecasting GDP Kalman filtering real-time data Other versions of this item:
Paper Martin D.D. Evans, 2005.
"Where Are We Now? Real-Time Estimates of the Macro Economy ,"
NBER Working Papers
11064, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted) Evans, Martin D, 2005.
"Where Are We Now? Real-Time Estimates of the Macroeconomy ,"
MPRA Paper
831, University Library of Munich, Germany.
[Downloadable!] Martin D. D. Evans(Georgetown University and NBER), .
"Where Are We Now? Real-time Estimates of the Macro Economy ,"
Working Papers
gueconwpa~05-05-02, Georgetown University, Department of Economics.
[Downloadable!] Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation
This paper has been announced in the following NEP Reports :
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690, Board of Governors of the Federal Reserve System (U.S.).
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Faust, Jon & Rogers, John H & Wright, Jonathan H, 2005.
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Journal of Money, Credit and Banking ,
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Domenico Giannone & Lucrezia Reichlin & David Small, 2005.
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Finance and Economics Discussion Series
2005-42, Board of Governors of the Federal Reserve System (U.S.).
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Other versions:
David H. Small & Domenico Giannone & Lucrezia Reichlin, 2006.
"Nowcasting GDP and inflation: the real-time informational content of macroeconomic data releases ,"
Working Paper Series
633, European Central Bank.
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"Nowcasting GDP and Inflation: The Real Time Informational Content of Macroeconomic Data Releases ,"
CEPR Discussion Papers
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[Downloadable!] (restricted) Domenico Giannone & Lucrezia Reichlin & David H Small, 2007.
"Nowcasting GDP and Inflation: The Real-Time Informational Content of Macroeconomic Data Releases ,"
Money Macro and Finance (MMF) Research Group Conference 2006
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[Downloadable!] Martin D.D. Evans & Richard K. Lyons, 2005.
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NBER Working Papers
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Other versions:
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[Downloadable!] Martin D. D. Evans & Richard K. Lyons, 2005.
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Computing in Economics and Finance 2006
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5633, C.E.P.R. Discussion Papers.
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