A Leading Index for the Indian Economy
AbstractOver 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 businesses, therefore, it is important to find a way to predict Indian recessions and recoveries, along with slowdowns and speedups in growth. This paper adopts a classical leading indicator approach to the problem. [Working Paper No. 90]
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Indian economy; classical business; cyclical fluctuations; endogenous factors; policy-makers;
Other versions of this item:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- O53 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
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- 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.
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- Amartya Sen, 1992. "Markets and Governments," Boston University - Institute for Economic Development 28, Boston University, Institute for Economic Development.
- Wesley Clair Mitchell, 1927. "Introductory pages to "Business Cycles: The Problem and Its Setting"," NBER Chapters, in: Business Cycles: The Problem and Its Setting, pages -23 National Bureau of Economic Research, Inc.
- Pami Dua & Anirvan Banerji, 2000. "An Index of Coincident Economic Indicators for the Indian Economy," Working papers 73, Centre for Development Economics, Delhi School of Economics.
- Layton, Allan P & Moore, Geoffrey H, 1989. "Leading Indicators for the Service Sector," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(3), pages 379-86, July.
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