Kumawat, Lokendra (2010): Effect of Rainfall on Seasonals in Indian Manufacturing Production: Evidence from Sectoral Data.
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Abstract
Recent research has shown that the seasonals in Indian manufacturing production are affected by rainfall. Since the effect of rainfall comes through agricultural production, this finding raises the question of whether the effect is through demand channel or supply channel. This paper attempts to provide a preliminary answer to this question by testing for this effect in the production in different sub-sectors within the manufacturing sector. We look at the three subsectors which have more than 10% weightage each in the index of manufacturing production: (i) food products, (ii) basic chemicals and chemical products (except products of petroleum and coal), and (iii) machinery and equipment (other than transport equipment). As almost all the estimated models show some type of misspecification, we also estimate models that allow for time-variation in this behaviour. We find evidence for effect of rainfall on overall dynamics of all three components studied, and also for significant time variation in this behaviour. Focusing on seasonal component, while estimations were not possible for the basic chemicals and chemical products, for the other two components we find evidence of significant effect of rainfall on seaosonality, indicating both the channels are significant.
Item Type: | MPRA Paper |
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Original Title: | Effect of Rainfall on Seasonals in Indian Manufacturing Production: Evidence from Sectoral Data |
Language: | English |
Keywords: | Seasonality, Manufacturing Production, Smooth Transition Autoregression |
Subjects: | E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes |
Item ID: | 25300 |
Depositing User: | Lokendra Kumawat |
Date Deposited: | 23 Sep 2010 14:28 |
Last Modified: | 05 Oct 2019 12:53 |
References: | Bhanumurthy N. R. and Sinha S. 2004. “Industrial Recovery: Can it Be Sustained?” Economic and Political Weekly January 31. Cecchetti S. G., Kashyap A. K. and Wilcox D. W. (1997), “Interactions Between the Seasonal and Business Cycles in Production and Inventories”, American Economic Review 87 884-892. Dua P. and Kumawat L. (2005), “Modelling and Forecasting Seasonality in Indian Macroeconomic Time Series”, Working Paper no. 136, Centre for Development Economics, Delhi School of Economics, Delhi. Franses P. H., De Bruin P., and Van Dijk, D. (2000), “Seasonal Smooth Transition Autoregression”, Econometric Institute Report 2000-06/A, Erasmus University, Rotterdam. Kanwar, S. (2000), “Does the Dog Wag the Tail or the Tail the Dog? Cointegration of Indian Agriculture with Non-agriculture”, Journal of Policy Modelling 22(5) 533-56. Kumawat L. (2009), “Modelling Changes in Seasonality in Indian Manufacturing Production: An Application of STAR Model”, Unpublished paper. Sinha N. and Kumawat L. (2004), “Testing for Seasonal Unit Roots: Some Issues and Testing for Indian Monetary Time Series”, in: Nachane D. M., Correa R., Ananthapadmanabhan G. and Shanmugam K. R. (eds.) “Econometric Models: Theory and Applications” 79-114 Allied Publishers: Mumbai. Suryahadi A., Suryadarma D., Sumarto S. and Molyneaux J. (2006), “Agricultural Demand Linkages and Growth Multiplier in Rural Indonesia” Working Paper, SMERU Research Institute, Jakarta, July 2006. Terasvirta T. (1994), “Specification, Estimation and Evaluation of Smooth Transition Autoregressive Models”, Journal of the American Statistical Association 89 208-218. Terasvirta T. (2004), “Smooth Transition Autoregression” in Lutkepohl H. and Kratzig M. (eds.) “Applied Time Series Econometrics” 222-242 Cambridge University Press. Terasvirta T. and Anderson H. M. (1992), “Characterising Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models”, Journal of Applied Econometrics 7 S119-S136. Van Dijk D., Strikholm B. and Terasvirta T. (2003), “The Effects of Institutional and Technological Change and Business Cycle Fluctuations on Seasonal Patterns in Quarterly Industrial Production Series”, Econometrics Journal 6 79-98. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/25300 |