Where Are We Now? Real-Time Estimates of the Macroeconomy

Evans, Martin D (2005): Where Are We Now? Real-Time Estimates of the Macroeconomy. Published in: International Journal of Central Banking , Vol. Volume, No. Number 2 (1 September 2005): pp. 127-175.

Abstract

This paper describes a method for calculating daily realtime estimates of the current state of the U.S. economy. The estimates are computed from data on scheduled U.S. 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 in the macroeconomy 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.

• Item Type: MPRA Paper
• Language: English
• Subjects: G - Financial Economics > G0 - General > G00 - General; G - Financial Economics > G0 - General

References

Andersen, Torben G., Tim Bollerslev, Francis Diebold, and Clara Vega. 2003. “Micro Effect of Macro Announcements: Real-Time Price Discovery in Foreign Exchange.” American Economic Review 93 (1): 38–62.

Balduzzi, Pierluigi, Edwin J. Elton, and T. Clifton Green. 2001.“Economic News and Bond Prices: Evidence from the U.S. Treasury Market.” Journal of Financial and Quantitative Analysis 36 (4): 523–43.

Carson, Carol S. 1987. “GNP: An Overview of Source Data and Estimation Methods.” Survey of Current Business 67 (7): 103–26.

Chow, Gregory, and An-loh Lin. 1971. “Best Linear Unbiased Interpolation,Distribution, and Extrapolation of Time Series by Related Time Series.” Review of Economics and Statistics 53:372–75.

Croushore, Dean, and Tom Stark. 1999. “A Real-Time Data Set for Macroeconomists.” Working Paper 99-4, Federal Reserve Bank of Philadelphia (June).2001. “A Real-Time Data Set for Macroeconomists.” Journal of Econometrics 105 (November): 111–30.

Dynan, Karen E., and Douglas W. Elmendorf. 2001. “Do Provisional Estimates of Output Miss Economic Turning Points?” Mimeo, Federal Reserve Board.

Evans, Martin D.D., and Richard K. Lyons. 2004a. “A New Micro Model of Exchange Rate Dynamics.” NBER Working Paper No.10379 (March).2004b. “Exchange Rate Fundamentals and Order Flow.” Mimeo (March). Available at www.georgetown.edu/faculty/evansm1/wpapers files/flowsandfundamentalsv8.pdf.

Faust, Jon, John Rogers, and Jonathan Wright. 2000. “News and Noise in G-7 GDP Announcements.” Federal Reserve Board International Finance Discussion Paper No. 2000-690.

Hamilton, James D. 1994. Time Series Analysis. Princeton, NJ:Princeton University Press. Harvey, Andrew C. 1989. Forecasting Structural Time Series Models and the Kalman Filter. Cambridge: Cambridge University Press.

Kitchen, John, and Ralph M. Monaco. 2003. “Real-Time Forecasting in Practice: The U.S. Treasury Staff’s Real-Time GDP Forecast System.” Business Economics (October): 10–19.

Liu, Hong, and Stephen G. Hall. 2000. “Creating High Frequency National Accounts with State Space Modelling: A Monte Carlo Experiment.” Mimeo, Imperial College, London, United Kingdom.

Mankiw, N. Gregory, and Matthew D. Shapiro. 1986. “News or Noise: An Analysis of GNP Revisions.” Survey of Current Business 66 (5): 20–5.

Mariano, Roberto, and Yasutomo Murasawa. 2003. “A New Coincident Index of Business Cycles Based on Monthly and Quarterly Series.” Journal of Applied Econometrics 18:427–43.

Orphanides, Athanasios. 2001. “Monetary Policy Rules Based on Real-Time Data.” American Economic Review 91 (4): 964–85.

Robertson, John C., and Ellis W. Tallman. 1999. “Vector Autoregressions: Forecasting and Reality.” Federal Reserve Bank of Atlanta Economic Review 84 (1): 4–18.

Seskin, Eugene P., and Robert P. Parker. 1998. “A Guide to the NIPA’s.” Survey of Current Business 78 (3): 26–68.

Stock, James H., and MarkW.Watson. 2002. “Macroeconomic Forecasting Using Diffusion Indexes.” Journal of Business and Economic Statistics 20 (2): 147–62.

Urich, Thomas J., and Paul Watchel. 1984. “The Effects of Inflation and Money Supply Announcements on Interest Rates.” Journal of Finance 39 (4): 1177–88.