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Forecasting inflation for India with the Phillips curve: evidence from internet search data

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dc.contributor.author Jha, Saakshi.
dc.contributor.author Sahu, Sohini.
dc.date.accessioned 2020-09-04T07:57:45Z
dc.date.available 2020-09-04T07:57:45Z
dc.date.issued 2020-08
dc.identifier.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. en_US
dc.identifier.issn 1545-2921
dc.identifier.uri http://www.accessecon.com/Pubs/EB/2020/Volume40/EB-20-V40-I3-P206.pdf
dc.identifier.uri http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/671
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Economics Bulletin en_US
dc.subject Inflation en_US
dc.subject Phillips Curve en_US
dc.subject IIM Ranchi en_US
dc.title Forecasting inflation for India with the Phillips curve: evidence from internet search data en_US
dc.type Article en_US
dc.volume 40 en_US
dc.issue 3 en_US


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