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Seasonal adjustment of Indian macroeconomic time-series

Rudrani Bhattacharya (), Radhika Pandey (), Ila Patnaik () and Ajay Shah ()
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Rudrani Bhattacharya: National Institute of Public Finance and Policy
Ila Patnaik: National Institute of Public Finance and Policy

Working Papers from National Institute of Public Finance and Policy

Abstract: Macroeconomic analysis benefits from seasonal adjustment. Month- on-month changes of economic time series yield faster information about developments in the economy, but the values have exaggerated variance when annual seasonality is present. In this paper, we show the full process for seasonal adjustment for four important Indian time-series. We find that significant reductions of variance are obtained by using black box seasonal adjustment, at the risk of failure for some time series. Thorough knowledge about seasonal adjustment yields more reliable answers, and a roughly 15% improvement in the volatility of month-on-month changes.

Date: 2016-01
Note: Working Paper 160, 2016
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