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Revisiting the Phillips curve for India and inflation forecasting

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  • Kapur, Muneesh

Abstract

This paper focuses on modeling and forecasting inflation in India using an augmented Phillips curve framework. Both demand and supply factors are seen as drivers of inflation. Demand conditions are found to have a stronger impact on non-food manufactured products (NFMP) inflation vis-a-vis headline wholesale price inflation; moreover, NFMP inflation is found to be more persistent than headline inflation. Both these findings support the use of NFMP inflation as a core measure of inflation. But, the impact of global non-fuel commodities on NFMP inflation is found to be substantial. Inflation in non-fuel commodities is seen as a more important driver of domestic inflation rather than fuel inflation. The exchange rate pass-through coefficient is found to be modest, but nonetheless sharp depreciation in a short period of time can add to inflationary pressures. The estimated equations show a satisfactory in sample as well as out-of-sample performance based on dynamic simulations. Nonetheless, forecasting challenges emanate from volatility in international oil and other commodity prices and domestic food supply dynamics.

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  • Kapur, Muneesh, 2013. "Revisiting the Phillips curve for India and inflation forecasting," Journal of Asian Economics, Elsevier, vol. 25(C), pages 17-27.
    • Handle: RePEc:eee:asieco:v:25:y:2013:i:c:p:17-27
    DOI: 10.1016/j.asieco.2012.12.002
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    Cited by:

    1. Ball, Laurence & Chari, Anusha & Mishra, Prachi, 2016. "Understanding Inflation in India," India Policy Forum, National Council of Applied Economic Research, vol. 12(1), pages 1-45.
    2. Sitikantha Pattanaik & Silu Muduli & Soumyajit Ray, 2020. "Inflation expectations of households: do they influence wage-price dynamics in India?," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 13(3), pages 244-263, September.
    3. Behera, Harendra Kumar & Patra, Michael Debabrata, 2022. "Measuring trend inflation in India," Journal of Asian Economics, Elsevier, vol. 80(C).
    4. Bhattacharya, Rudrani & Kapoor, Mrigankshi, 2020. "Forecasting Consumer Price Index Inflation in India: Vector Error Correction Mechanism Vs. Dynamic Factor Model Approach for Non-Stationary Time Series," Working Papers 20/323, National Institute of Public Finance and Policy.
    5. Kazeem O. Isah & Abdulkader C. Mahomedy & Elias A. Udeaja & Ojo J. Adelakun & Yusuf Yakubu & Danmecca Musa, 2022. "Revisiting the accuracy of inflation forecasts in Nigeria: The oil price–exchange rate–asymmetry perspectives," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 329-348, September.
    6. Harendra Behera & Garima Wahi & Muneesh Kapur, 2017. "Phillips Curve Relationship in India: Evidence from State-Level Analysis," Working Papers id:11973, eSocialSciences.
    7. Tule, Moses K. & Salisu, Afees A. & Chiemeke, Charles C., 2019. "Can agricultural commodity prices predict Nigeria's inflation?," Journal of Commodity Markets, Elsevier, vol. 16(C).
    8. Behera, Harendra & Wahi, Garima & Kapur, Muneesh, 2018. "Phillips curve relationship in an emerging economy: Evidence from India," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 116-126.
    9. Sunil Paul & Sartaj Rasool Rather & M. Ramachandran, 2015. "Money and Inflation: Evidence from P-Star Model," Working Papers 2015-115, Madras School of Economics,Chennai,India.
    10. Afees A. Salisu & Elias A. Udeaja & Silva Opuala-Charles, 2022. "Central Bank Independence And Price Stability Under Alternative Political Regimes: A Global Evidence," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 25(2), pages 155-172, August.
    11. Kapur, Muneesh, 2018. "Macroeconomic Policies and Transmission Dynamics in India," MPRA Paper 88566, University Library of Munich, Germany.
    12. Saakshi Jha & Sohini Sahu, 2020. "Forecasting inflation for India with the Phillips Curve: Evidence from internet search data," Economics Bulletin, AccessEcon, vol. 40(3), pages 2372-2379.
    13. Roy, Rudra Prosad & Sinha Roy, Saikat, 2022. "Commodity futures prices pass-through and monetary policy in India: Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    14. Bhavesh Salunkhe & Anuradha Patnaik, 2019. "Inflation Dynamics and Monetary Policy in India: A New Keynesian Phillips Curve Perspective," South Asian Journal of Macroeconomics and Public Finance, , vol. 8(2), pages 144-179, December.
    15. Rakesh Mohan & Partha Ray, 2019. "Indian Monetary Policy in the Time of Inflation Targeting and Demonetization," Asian Economic Policy Review, Japan Center for Economic Research, vol. 14(1), pages 67-92, January.
    16. Dinabandhu Sethi & Debashis Acharya, 2018. "Estimating Sectoral Disinflation Cost in India: Some Structural VAR Evidence," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(1), pages 23-46, December.

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    More about this item

    Keywords

    Exchange rate pass-through; India; Inflation; Monetary policy; Phillips curve;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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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