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dc.contributor.authorSingh, Gaurav Kumar
dc.date.accessioned2022-03-01T07:01:35Z
dc.date.available2022-03-01T07:01:35Z
dc.date.issued2020-12-01
dc.identifier.citationSingh, G. K. (2022). How informative are quantified survey data? Evidence from RBI household inflation expectations survey. IIM Ahmedabad.en_US
dc.identifier.urihttp://hdl.handle.net/11718/25467
dc.description.abstractQuantification of the ordinal survey responses on inflation expectations ease and important preliminary step for undertaking further macroeconomic analysis of the data. In this paper, we briefly describe the standard quantification methods along with the underlying assumptions. We also propose two new methods for Quantification. We than apply these methods to quantify the IESH data collected by the Reserve Bank of India (RBI). An interesting fact that emerges from this exercise is simpler quantification methods are found to perform better that more complex methods for IESH data. Also, the methods with time varying weights or time varying thresholds, as the case may be, work significantly better.en_US
dc.language.isoenen_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.subjectInflation expectations surveyen_US
dc.subjectOrdinal responsesen_US
dc.subjectQuantified inflation expectationsen_US
dc.titleHow informative are quantified survey data? evidence from RBI household inflation expectations surveyen_US
dc.typeWorking Paperen_US


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