Please use this identifier to cite or link to this item: http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/671
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dc.contributor.authorJha, Saakshi.-
dc.contributor.authorSahu, Sohini.-
dc.date.accessioned2020-09-04T07:57:45Z-
dc.date.available2020-09-04T07:57:45Z-
dc.date.issued2020-08-
dc.identifier.citationJha, 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.issn1545-2921-
dc.identifier.urihttp://www.accessecon.com/Pubs/EB/2020/Volume40/EB-20-V40-I3-P206.pdf-
dc.identifier.urihttp://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/671-
dc.description.abstractThis 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.isoenen_US
dc.publisherEconomics Bulletinen_US
dc.subjectInflationen_US
dc.subjectPhillips Curveen_US
dc.subjectIIM Ranchien_US
dc.titleForecasting inflation for India with the Phillips curve: evidence from internet search dataen_US
dc.typeArticleen_US
dc.volume40en_US
dc.issue3en_US
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