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DC Field | Value | Language |
---|---|---|
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 |
Appears in Collections: | Journal Articles |
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