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What do we gain from Seasonal Adjustment of the Indian Index of Industrial Production (IIP)?

Radhika Pandey (), Amey Sapre () and Pramod Sinha ()
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Pramod Sinha: National Institute of Public Finance and Policy

Working Papers from National Institute of Public Finance and Policy

Abstract: In this paper we conduct a seasonal adjustment (SA) of the 2011-12 base series of Index of Industrial Production (IIP). We use the x-13 ARIMA-SEATS iterative process and follow an indirect approach of first identifying seasonality at the product level and then recompile the manufacturing index with seasonally adjusted series. The SA process shows identifiable seasonality in 206/405 (almost 50%) items spread within broad NIC groups of food, beverages,textiles, leather & apparels. Seasonally adjusted levels also provide a smooth and low fluctuation series that can be used for extrapolation in the advance and provisional estimate stage of GDP estimates. However, the SA process reveals several data quality issues of inexplicable outliers, growth rates and changes in pattern of individual items. While seasonal adjustment has advantages, the process pre-supposes pristine data quality and given the trends shown by item level data, both the SA and actual IIP are inadequate in explaining the growth performance of the manufacturing sector.

Keywords: Seasonal Adjustment; X-13 ARIMA-SEATS; Index of Industrial Production; Fluctuations; India (search for similar items in EconPapers)
JEL-codes: C43 C50 P44 (search for similar items in EconPapers)
Pages: 49
Date: 2020-10
New Economics Papers: this item is included in nep-ets
Note: Working Paper 322, 2020
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