Please use this identifier to cite or link to this item: http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/671
Title: Forecasting inflation for India with the Phillips curve: evidence from internet search data
Authors: Jha, Saakshi.
Sahu, Sohini.
Keywords: Inflation
Phillips Curve
IIM Ranchi
Issue Date: Aug-2020
Publisher: Economics Bulletin
Citation: Jha, S., & Sahu, S. (2020). Forecasting inflation for India with the Phillips Curve: Evidence from internet search data. Economics Bulletin, 40(3), 2372-2379.
Abstract: This paper forecasts inflation based on the New Keynesian Phillips curve for India using internet search-based inflation expectations. We find that compared to inflation forecasts based on traditional time-series estimation method like AR(1) or household-survey based inflation expectations, our model that employs inflation expectations of agents based on real-time inflation-related internet search, has better inflation forecasting performance. From a policy standpoint, this underscores the importance of analysing big data for the purpose of forecasting inflation.
URI: http://www.accessecon.com/Pubs/EB/2020/Volume40/EB-20-V40-I3-P206.pdf
http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/671
ISSN: 1545-2921
Appears in Collections:Journal Articles

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