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 |