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Information, forecasts, and measurement of the business cycle

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  • Evans, George
  • Reichlin, Lucrezia

Abstract

The Beveridge-Nelson (BN) technique provides a forecast-based method of decomposing a variable such as output, into trend and cycle when the variable is integrated of order one (I (1)). This paper considers the multivariate generalization of the BN decomposition when the information set includes other I (1) and/or stationary variables. We show that the relative importance of the cyclical component depends on the information set, and in particular that multivariate BN decompositions necessarily ascribe more importance to the cyclical component than does the univariate decomposition, provided the information set includes a variable which Granger-causes output. We illustrate the results for post-war data for the United States.
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Suggested Citation

  • Evans, George & Reichlin, Lucrezia, 1994. "Information, forecasts, and measurement of the business cycle," Journal of Monetary Economics, Elsevier, vol. 33(2), pages 233-254, April.
  • Handle: RePEc:eee:moneco:v:33:y:1994:i:2:p:233-254
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    1. Edward C. Prescott, 1986. "Theory ahead of business cycle measurement," Quarterly Review, Federal Reserve Bank of Minneapolis, pages 9-22.
    2. Backus, David K & Kehoe, Patrick J & Kydland, Finn E, 1992. "International Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 100(4), pages 745-775, August.
    3. Taylor, John B & Uhlig, Harald, 1990. "Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 1-17, January.
    4. Barro, Robert J & Sahasakul, Chaipat, 1986. "Average Marginal Tax Rates from Social Security and the Individual Income Tax," The Journal of Business, University of Chicago Press, vol. 59(4), pages 555-566, October.
    5. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, pages 309-327.
    6. Becker, Robert A., 1985. "Capital income taxation and perfect foresight," Journal of Public Economics, Elsevier, pages 147-167.
    7. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, pages 309-327.
    8. Judd, Kenneth L, 1987. "The Welfare Cost of Factor Taxation in a Perfect-Foresight Model," Journal of Political Economy, University of Chicago Press, vol. 95(4), pages 675-709, August.
    9. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    10. Zadrozny, Peter, 1988. "Analytic Derivatives for Estimation of Discrete-Time,," Econometrica, Econometric Society, vol. 56(2), pages 467-472, March.
    11. Prescott, Edward C., 1986. "Theory ahead of business-cycle measurement," Carnegie-Rochester Conference Series on Public Policy, Elsevier, pages 11-44.
    12. Driffill, E John & Rosen, Harvey S, 1983. "Taxation and Excess Burden: A Life Cycle Perspective," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(3), pages 671-683, October.
    13. Sargent, Thomas J, 1989. "Two Models of Measurements and the Investment Accelerator," Journal of Political Economy, University of Chicago Press, vol. 97(2), pages 251-287, April.
    14. Martin S. Eichenbaum & Lars Peter Hansen & Kenneth J. Singleton, 1988. "A Time Series Analysis of Representative Agent Models of Consumption and Leisure Choice Under Uncertainty," The Quarterly Journal of Economics, Oxford University Press, vol. 103(1), pages 51-78.
    15. John B. Taylor, 1982. "The Swedish Investment Funds System as a Stabilization Rule," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, pages 57-106.
    16. Seater, John J., 1985. "On the construction of marginal federal personal and social security tax rates in the U.S," Journal of Monetary Economics, Elsevier, pages 121-135.
    17. Lawrence J. Christiano & Martin Eichenbaum, 1988. "Is Theory Really Ahead of Measurement? Current Real Business Cycle Theories and Aggregate Labor Market Fluctuations," NBER Working Papers 2700, National Bureau of Economic Research, Inc.
    18. Gregory W. Huffman & Jeremy Greenwood, 1989. "Tax analysis in a dynamic stochastic model: on measuring Harberger triangles and Okun gaps," Research Working Paper 89-01, Federal Reserve Bank of Kansas City.
    19. Jess Benhabib & Randall Wright & Richard Rogerson, 1990. "Homework in Macoreconomics I: Basic Theory (Part I of II)," NBER Working Papers 3344, National Bureau of Economic Research, Inc.
    20. Altug, Sumru, 1989. "Time-to-Build and Aggregate Fluctuations: Some New Evidence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(4), pages 889-920, November.
    21. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
    22. Joines, Douglas H, 1981. "Estimates of Effective Marginal Tax Rates on Factor Incomes," The Journal of Business, University of Chicago Press, vol. 54(2), pages 191-226, April.
    23. Christiano, Lawrence J., 1988. "Why does inventory investment fluctuate so much?," Journal of Monetary Economics, Elsevier, pages 247-280.
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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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