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India’s Potential Output Revisited

Author

Listed:
  • Barendra Kumar Bhoi

    (Reserve Bank of India)

  • Harendra Kumar Behera

    (Reserve Bank of India)

Abstract

Estimates of potential output have been revised downward across countries in the post-crisis period. In India, the debate on potential GDP and output gap has been intensified in the wake of revision in the GDP estimates with change in base year as well as the underlying methodology consistent with international best practices. In light of these, an attempt has been made for the first time in India to estimate potential GDP and output gap on a quarterly basis by using production function approach in addition to revisiting the estimates of potential output by conventional statistical methods for the period 1980Q2–2015Q4. The findings suggest that India’s potential growth, which had accelerated to around 8 % during 2003–2008, decelerated considerably in the aftermath of the global financial crisis to about 7 % during 2009–2015, mainly due to decline in contribution of total factor productivity and deceleration in the growth of capital stocks. The estimates further suggest that output gap, i.e. the percentage deviation of actual output from its potential level, has been negative since Q3 of 2012, though the gap is closing slowly. Key to accelerate growth as well as potential output in India lies with higher level of capital formation as its contribution dominates vis-à-vis the contribution of labour and total factor productivity.

Suggested Citation

  • Barendra Kumar Bhoi & Harendra Kumar Behera, 2017. "India’s Potential Output Revisited," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(1), pages 101-120, March.
  • Handle: RePEc:spr:jqecon:v:15:y:2017:i:1:d:10.1007_s40953-016-0040-9
    DOI: 10.1007/s40953-016-0040-9
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    1. 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.
    2. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    3. Ashima Goyal & Sanchit Arora, 2012. "Deriving India's Potential growth from theory and structure," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2012-018, Indira Gandhi Institute of Development Research, Mumbai, India.
    4. Hansen, Bruce E., 1992. "Efficient estimation and testing of cointegrating vectors in the presence of deterministic trends," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 87-121.
    5. Patrick Blagrave & Mr. Roberto Garcia-Saltos & Mr. Douglas Laxton & Fan Zhang, 2015. "A Simple Multivariate Filter for Estimating Potential Output," IMF Working Papers 2015/079, International Monetary Fund.
    6. Martin Boileau & Michel Normandin, 1999. "Capacity Utilization and the Dynamics of Business Cycle Fluctuations," Cahiers de recherche CREFE / CREFE Working Papers 92, CREFE, Université du Québec à Montréal.
    7. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    8. Rahul Anand & Mr. Kevin C Cheng & Sidra Rehman & Ms. Longmei Zhang, 2014. "Potential Growth in Emerging Asia," IMF Working Papers 2014/002, International Monetary Fund.
    9. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    10. Mr. Dani Rodrik & Mr. Arvind Subramanian, 2004. "Why India Can Grow At 7 Percent a Year or More: Projections and Reflections," IMF Working Papers 2004/118, International Monetary Fund.
    11. Rahul Anand & Kevin C Cheng & Sidra Rehman & Longmei Zhang, 2014. "Potential Growth in Emerging Asia," IMF Working Papers 2014/02, International Monetary Fund.
    12. Rahul Anand & Kevin C Cheng & Sidra Rehman & Longmei Zhang, 2014. "Potential Growth in Emerging Asia," IMF Working Papers 14/02, International Monetary Fund.
    13. Greenwood, Jeremy & Hercowitz, Zvi & Huffman, Gregory W, 1988. "Investment, Capacity Utilization, and the Real Business Cycle," American Economic Review, American Economic Association, vol. 78(3), pages 402-417, June.
    14. Ali Alichi, 2015. "A New Methodology for Estimating the Output Gap in the United States," IMF Working Papers 2015/144, International Monetary Fund.
    15. Barry Bosworth & Susan M. Collins, 2008. "Accounting for Growth: Comparing China and India," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 45-66, Winter.
    16. Gordon de Brouwer, 1998. "Estimating Output Gaps," RBA Research Discussion Papers rdp9809, Reserve Bank of Australia.
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    Cited by:

    1. Ricardo Najarro Chuchón, 2021. "Estimación del PBI potencial para los países de la Alianza del Pacífico:1961-2020," Revista de Análisis Económico y Financiero, Universidad de San Martín de Porres, vol. 4(01), pages 15-18.
    2. Mohammad MUSTAFA, 2020. "Impact of credit guarantee on the output gap: A panel data analysis of Asian sovereigns," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(2(623), S), pages 281-288, Summer.
    3. Barendra Kumar Bhoi & Abhishek Kumar & Prashant Mehul Parab, "undated". "Aggregate demand management, policy errors and optimal monetary policy in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2019-029, Indira Gandhi Institute of Development Research, Mumbai, India.
    4. Nandi, Aurodeep, 2019. "Fiscal deficit targeting alongside flexible inflation targeting: India’s fiscal policy transmission," Journal of Asian Economics, Elsevier, vol. 63(C), pages 1-18.

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    More about this item

    Keywords

    Potential output; Business cycle; Production function; Kalman filter;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • 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

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