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An Indicator Approach to Business and Growth Rate Cycles: The Case of India

Author

Listed:
  • Pami Dua

    (Delhi School of Economics and Economic Cycle Research Institute)

  • Anirvan Banerji

    (Economic Cycle Research Institute)

Abstract

Over the last few decades, the Indian economy has experienced both classical business cycles and the cyclical fluctuations in its growth rate known as growth rate cycles. In the years since the liberalization of the economy began, these cycles have been driven more by endogenous factors than by exogenous shocks. From the point of view of both policy makers and business, therefore, it is important to find a way to predict Indian recessions and recoveries, along with slowdowns and speed-ups in growth. This paper adopts a classical leading indicator approach to the problem. In earlier work (Dua and Banerji, 1999), we used the classical NBER approach to determine the dates of Indian business cycles and growth rate cycles. These dates are used as the reference chronology against which to evaluate the performance of potential leading indicators for the Indian economy. The indicators selected are combined into a composite index of leading economic indicators, designed to anticipate business cycle and growth rate cycles upturns and downturns. Given the paucity of suitable data for the Indian economy, the construction of such a leading index constitutes a significant advance. It also confirms that that the durable sequences of leads and lags seen in free market economies are now also evident in the Indian case, permitting useful forecasts of cyclical turning points.

Suggested Citation

  • Pami Dua & Anirvan Banerji, 2001. "An Indicator Approach to Business and Growth Rate Cycles: The Case of India," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 36(1), pages 55-78, January.
  • Handle: RePEc:dse:indecr:v:36:y:2001:i:1:p:55-78
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    Citations

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    Cited by:

    1. Sumanpreet Kaur, 2019. "An Attempt to Predict Recession for the Indian Economy Using Leading Indicators," Asian Development Policy Review, Asian Economic and Social Society, vol. 7(3), pages 171-190, September.
    2. Kaustubh & Soumya Bhadury & Saurabh Ghosh, 2024. "Reinvigorating Gva Nowcasting In The Postpandemic Period: A Case Study For India," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 27(Spesial I), pages 95-130, Februari.
    3. Bhattacharya, Rudrani & Pandey, Radhika & Patnaik, Ila & Shah, Ajay, 2016. "Seasonal adjustment of Indian macroeconomic time-series," Working Papers 16/160, National Institute of Public Finance and Policy.
    4. Paul, Biru Paksha, 2009. "In search of the Phillips curve for India," Journal of Asian Economics, Elsevier, vol. 20(4), pages 479-488, September.
    5. Mustapha Olalekan Ojo & Luís Aguiar‐Conraria & Maria Joana Soares, 2024. "The performance of OECD's composite leading indicator," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2265-2277, April.
    6. Ghate, Chetan & Pandey, Radhika & Patnaik, Ila, 2011. "Has India emerged? Business cycle facts from a transitioning economy," Working Papers 11/88, National Institute of Public Finance and Policy.
    7. Bhadury, Soumya & Ghosh, Saurabh & Kumar, Pankaj, 2019. "Nowcasting GDP Growth Using a Coincident Economic Indicator for India," MPRA Paper 96007, University Library of Munich, Germany.
    8. Ghate, Chetan & Pandey, Radhika & Patnaik, Ila, 2013. "Has India emerged? Business cycle stylized facts from a transitioning economy," Structural Change and Economic Dynamics, Elsevier, vol. 24(C), pages 157-172.
    9. Biru Paksha Paul & Anupam Das, 2012. "Export-led Growth in India and the Role of Liberalisation," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 6(1), pages 1-26, February.
    10. Pami Dua & Anirvan Banerji, 2007. "Predicting Indian Business Cycles," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 1(3), pages 249-265, July.
    11. Pandey, Radhika & Patnaik, Ila & Shah, Ajay, 2019. "Measuring business cycle conditions in India," Working Papers 19/269, National Institute of Public Finance and Policy.

    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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