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Robust Quarterization of GDP and Determination of Business Cycle Dates for IGC Partner Countries

Author

Listed:
  • Abdullah Tahir

    (State Bank of Pakistan)

  • Jameel Ahmed

    (State Bank of Pakistan)

  • Waqas Ahmed

    (State Bank of Pakistan)

Abstract
Business cycle dating, macroeconomic analysis and ex-ante policy prescription based on macroeconomic variables at annual data frequency is inadequate; as high frequency information on the state of the economy, otherwise inherent in quarterly data is averaged out at such low frequency. We use a robust method of disaggregating quarterly series from annual data, such that the aspect and information about the intervening business cycles is preserved. Extracting an orthogonal factor, which encompasses common variation (co-movements) of leading indicators of economic activity at quarterly data frequency, we use seemingly unrelated time series equation (SUTSE) model to disaggregate the annual GDP data into quarterly frequency. Utility of the quarterly GDP estimates is illustrated by (i) determining business cycle dates using a non-parametric Bry-Boschan (1971) algorithm and (ii) estimating the potential GDP and output gap for each of the 11 International Growth Center (IGC) partner countries.

Suggested Citation

  • Abdullah Tahir & Jameel Ahmed & Waqas Ahmed, 2018. "Robust Quarterization of GDP and Determination of Business Cycle Dates for IGC Partner Countries," SBP Working Paper Series 97, State Bank of Pakistan, Research Department.
    • Handle: RePEc:sbp:wpaper:97
    as

    Download full text from publisher

    File URL: http://www.sbp.org.pk/publications/wpapers/2018/wp97.pdf
    File Function: First version, 2018
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    References listed on IDEAS

    as
    1. Claessens, Stijn & Kose, M. Ayhan & Terrones, Marco E., 2012. "How do business and financial cycles interact?," Journal of International Economics, Elsevier, vol. 87(1), pages 178-190.
    2. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    3. Rand, John & Tarp, Finn, 2002. "Business Cycles in Developing Countries: Are They Different?," World Development, Elsevier, vol. 30(12), pages 2071-2088, December.
    4. Harding, Don & Pagan, Adrian, 2003. "A comparison of two business cycle dating methods," Journal of Economic Dynamics and Control, Elsevier, vol. 27(9), pages 1681-1690, July.
    5. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    6. Muhammad Nadim Hanif & Muhammad Jahanzeb Malik, 2013. "Quarterisation of National Income Accounts of Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 9, pages 1-61.
    7. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    8. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    9. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    10. Milton Friedman, 1962. "The Interpolation of Time Series by Related Series," NBER Books, National Bureau of Economic Research, Inc, number frie62-1.
    11. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    12. James H. Stock & Mark W. Watson, 1993. "Introduction to "Business Cycles, Indicators and Forecasting"," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 1-10, National Bureau of Economic Research, Inc.
    13. James H. Stock & Mark W. Watson, 2010. "Indicators for Dating Business Cycles: Cross-History Selection and Comparisons," American Economic Review, American Economic Association, vol. 100(2), pages 16-19, May.
    14. Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
    15. Tommaso Proietti, 2006. "Temporal disaggregation by state space methods: Dynamic regression methods revisited," Econometrics Journal, Royal Economic Society, vol. 9(3), pages 357-372, November.
    16. James D. Hamilton, 2017. "Why You Should Never Use the Hodrick-Prescott Filter," NBER Working Papers 23429, National Bureau of Economic Research, Inc.
    17. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
    18. Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters, in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1, National Bureau of Economic Research, Inc.
    19. Lucas, Robert E., 1977. "Understanding business cycles," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 5(1), pages 7-29, January.
    20. Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-368, July.
    21. James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1.
    22. Arby, Muhammad Farooq, 2008. "Some Issues in the National Income Accounts of Pakistan (Rebasing, Quarterly and Provincial Accounts and Growth Accounting)," MPRA Paper 32048, University Library of Munich, Germany.
    23. Filippo Moauro & Giovanni Savio, 2005. "Temporal disaggregation using multivariate structural time series models," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 214-234, July.
    24. Milton Friedman, 1962. "Introduction to "The Interpolation of Time Series by Related Series"," NBER Chapters, in: The Interpolation of Time Series by Related Series, pages 1-3, National Bureau of Economic Research, Inc.
    25. Stock, James H. & Watson, Mark W. (ed.), 1993. "Business Cycles, Indicators, and Forecasting," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226774886.
    26. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1.
    27. Layton, Allan P., 1996. "Dating and predicting phase changes in the U.S. business cycle," International Journal of Forecasting, Elsevier, vol. 12(3), pages 417-428, September.
    28. James H. Stock & Mark W. Watson, 1993. "A Procedure for Predicting Recessions with Leading Indicators: Econometric Issues and Recent Experience," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 95-156, National Bureau of Economic Research, Inc.
    29. J. C. G. Boot & W. Feibes & J. H. C. Lisman, 1967. "Further Methods of Derivation of Quarterly Figures from Annual Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 16(1), pages 65-75, March.
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    Cited by:

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    4. Sarwar, Muhammad Nadeem & Hussain, Hamid & Maqbool, Muhammad Bilal, 2020. "Pass through effects of oil price on food and non-food prices in Pakistan: A nonlinear ARDL approach," Resources Policy, Elsevier, vol. 69(C).
    5. Mariola Piłatowska & Andrzej Geise & Aneta Włodarczyk, 2020. "The Effect of Renewable and Nuclear Energy Consumption on Decoupling Economic Growth from CO 2 Emissions in Spain," Energies, MDPI, vol. 13(9), pages 1-18, April.
    6. Muhammad Nadim Hanif & Sajjad Zaheer & Javed Iqbal, 2022. "Time-Frequency Analysis of Determinants of Inflation Rate in Pakistan," SBP Working Paper Series 111, State Bank of Pakistan, Research Department.

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    More about this item

    Keywords

    Temporal Disaggregation; Business Cycle Dates; Dynamic Linear Model;
    All these keywords.

    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
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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