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Volumn 27, Issue 4, 2009, Pages 417-427

Real-time measurement of business conditions

Author keywords

Business cycle; Contraction; Dynamic factor model; Expansion; Macroeconomic forecasting; Recession; State space model; Turning point

Indexed keywords


EID: 70349902784     PISSN: 07350015     EISSN: None     Source Type: Journal    
DOI: 10.1198/jbes.2009.07205     Document Type: Article
Times cited : (593)

References (34)
  • 1
  • 4
    • 33745304373 scopus 로고    scopus 로고
    • Confidence intervals for diffusion index forecasts and inference for factor-augmented regressions
    • Bai, J., and Ng, S. 2006, "Confidence Intervals for Diffusion Index Forecasts and Inference for Factor-Augmented Regressions," Econometrica, 74, 1133-1150.
    • (2006) Econometrica , vol.74 , pp. 1133-1150
    • Bai, J.1    Ng, S.2
  • 5
    • 33646162895 scopus 로고    scopus 로고
    • Are more data always better for factor analysis?
    • Boivin, J., and Ng, S. 2006, "Are More Data Always Better for Factor Analysis?" Journal of Econometrics, 127, 169-194.
    • (2006) Journal of Econometrics , vol.127 , pp. 169-194
    • Boivin, J.1    Ng, S.2
  • 8
    • 0002261507 scopus 로고
    • Application of the kalman filter to revisions in monthly retail sales estimates
    • Conrad, W., and Corrado, C. 1979, "Application of the Kalman Filter to Revisions in Monthly Retail Sales Estimates," Journal of Economic Dynamics and Control, 1, 177-198.
    • (1979) Journal of Economic Dynamics and Control , vol.1 , pp. 177-198
    • Conrad, W.1    Corrado, C.2
  • 10
    • 84926128091 scopus 로고    scopus 로고
    • discussion of Reichlin andWatson papers, in Advances in Economics and Econometrics, Eighth World Congress of the Econometric Society, eds. M. Dewatripont, L. P. Hansen, and S. Turnovsky, Cambridge: Cambridge University Press
    • Diebold, F. X. 2003, "'Big Data' Dynamic Factor Models for Macroeconomic Measurement and Forecasting" (discussion of Reichlin andWatson papers), in Advances in Economics and Econometrics, Eighth World Congress of the Econometric Society, eds. M. Dewatripont, L. P. Hansen, and S. Turnovsky, Cambridge: Cambridge University Press, pp. 115-122.
    • (2003) 'Big Data' Dynamic Factor Models for Macroeconomic Measurement and Forecasting , pp. 115-122
    • Diebold, F.X.1
  • 12
    • 33644508092 scopus 로고    scopus 로고
    • The macroeconomy and the yield curve: A dynamic latent factor approach
    • Diebold, F. X., Rudebusch, G. D., and Aruoba, S. B. 2006, "The Macroeconomy and the Yield Curve: A Dynamic Latent Factor Approach," Journal of Econometrics, 131, 309-338.
    • (2006) Journal of Econometrics , vol.131 , pp. 309-338
    • Diebold, F.X.1    Rudebusch, G.D.2    Aruoba, S.B.3
  • 14
    • 33747392621 scopus 로고    scopus 로고
    • Where are we now?: Real time estimates of the macro economy
    • September
    • Evans, M. D. D. 2005, "Where Are We Now?: Real Time Estimates of the Macro Economy," The International Journal of Central Banking, September, 127-175.
    • (2005) The International Journal of Central Banking , pp. 127-175
    • Evans, M.D.D.1
  • 17
    • 0002931014 scopus 로고
    • The dynamic factor analysis of economic time series models
    • D. Aigner and A. Goldberger, Amsterdam: North-Holland
    • Geweke, J. F. 1977, "The Dynamic Factor Analysis of Economic Time Series Models," in Latent Variables in Socioeconomic Models, eds. D. Aigner and A. Goldberger, Amsterdam: North-Holland, pp. 365-383.
    • (1977) Latent Variables in Socioeconomic Models , pp. 365-383
    • Geweke, J.F.1
  • 19
    • 46949109976 scopus 로고    scopus 로고
    • Nowcasting: The real time informational content of macroeconomic data
    • Giannone, D., Reichlin, L., and Small, D. 2008, "Nowcasting: The Real Time Informational Content of Macroeconomic Data," Journal of Monetary Economics, 55, 665-676.
    • (2008) Journal of Monetary Economics , vol.55 , pp. 665-676
    • Giannone, D.1    Reichlin, L.2    Small, D.3
  • 21
    • 0001342006 scopus 로고
    • A new approach to the economic analysis of nonstationary time series and the business cycle
    • Hamilton, J. D. 1989, "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, 57, 357-384.
    • (1989) Econometrica , vol.57 , pp. 357-384
    • Hamilton, J.D.1
  • 22
    • 0003348988 scopus 로고
    • Data revision, reconstruction, and prediction: An application to inventory investment
    • Howrey, E. P. 1984, "Data Revision, Reconstruction, and Prediction: An Application to Inventory Investment," Review of Economics and Statistics, 66, 386-393.
    • (1984) Review of Economics and Statistics , vol.66 , pp. 386-393
    • Howrey, E.P.1
  • 25
    • 0035446375 scopus 로고    scopus 로고
    • Creating high-frequency national accounts with state-space modelling: A monte carlo experiment
    • Liu, H., and Hall, S. G. 2001, "Creating High-Frequency National Accounts With State-Space Modelling: A Monte Carlo Experiment," Journal of Forecasting, 20, 441-449.
    • (2001) Journal of Forecasting , vol.20 , pp. 441-449
    • Liu, H.1    Hall, S.G.2
  • 27
    • 0042658073 scopus 로고    scopus 로고
    • A new coincident index of business cycles based on monthly and quarterly series
    • DOI 10.1002/jae.695
    • Mariano, R. S., and Murasawa, Y. 2003, "A New Coincident Index of Business Cycles Based on Monthly and Quarterly Series," Journal of Applied Econometrics, 18, 427-443. (Pubitemid 37282622)
    • (2003) Journal of Applied Econometrics , vol.18 , Issue.4 , pp. 427-443
    • Mariano, R.S.1    Murasawa, Y.2
  • 29
    • 33644617194 scopus 로고    scopus 로고
    • Dynamic factor analysiswith non linear temporal aggregation constraints
    • Proietti, T., and Moauro, F. 2006, "Dynamic Factor AnalysisWith Non Linear Temporal Aggregation Constraints," Applied Statistics, 55, 281-300.
    • (2006) Applied Statistics , vol.55 , pp. 281-300
    • Proietti, T.1    Moauro, F.2
  • 30
    • 0003331699 scopus 로고
    • Business cycle modeling without pretending to have too much a priori economic theory
    • C. Sims, Minneapolis: Federal Reserve Bank of Minneapolis
    • Sargent, T. J., and Sims, C. A. 1977, "Business Cycle Modeling Without Pretending to Have too Much a priori Economic Theory," in New Methods in Business Research, ed. C. Sims, Minneapolis: Federal Reserve Bank of Minneapolis.
    • (1977) New Methods in Business Research
    • Sargent, T.J.1    Sims, C.A.2
  • 31
    • 0030170938 scopus 로고    scopus 로고
    • Forecasting macroeconomic variables using data of different periodicities
    • Shen, C.-H. 1996, "Forecasting Macroeconomic Variables Using Data of Different Periodicities," International Journal of Forecasting, 12, 269-282.
    • (1996) International Journal of Forecasting , vol.12 , pp. 269-282
    • Shen, C.-H.1
  • 32
    • 0000076932 scopus 로고
    • New indexes of coincident and leading economic indicators
    • Cambridge,MA: MIT Press
    • Stock, J. H., and Watson, M.W. 1989, "New Indexes of Coincident and Leading Economic Indicators," in NBER Macro Annual, Vol. 4, Cambridge,MA: MIT Press.
    • (1989) NBER Macro Annual , vol.4
    • Stock, J.H.1    Watson, M.W.2
  • 33
    • 0003153605 scopus 로고
    • A probability model of the coincident economic indicators
    • K. Lahiri and G. Moore, Cambridge: Cambridge University Press
    • - (1991), "A Probability Model of the Coincident Economic Indicators," in Leading Economic Indicators: New Approaches and Forecasting Records, eds. K. Lahiri and G. Moore, Cambridge: Cambridge University Press, pp. 63-89.
    • (1991) Leading Economic Indicators: New Approaches and Forecasting Records , pp. 63-89
  • 34
    • 0036005160 scopus 로고    scopus 로고
    • Macroeconomic forecasting using diffusion indexes
    • - (2002), "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, 20, 147-162.
    • (2002) Journal of Business & Economic Statistics , vol.20 , pp. 147-162


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