Modelling Inflation in India
Pulapre Balakrishnan () and
M. Parameswaran ()
Additional contact information
Pulapre Balakrishnan: Ashoka University
M. Parameswaran: Centre for Development Studies
Journal of Quantitative Economics, 2021, vol. 19, issue 3, No 7, 555-581
Abstract:
Abstract The Reserve Bank of India pursues inflation targeting, which is based on the premise that inflation is related to the ‘output gap’, defined as the deviation of output from its natural level. We present an alternative model of inflation derived from structuralist macroeconomics, the highlight of which is an agricultural sector prone to fluctuating output. A distinctive feature of the model is that inflation is related to the relative price of agricultural goods, in addition to other determining variables. We then subject both the models to econometric testing that involved alternative measures of inflation, sample periods and data frequencies. The output-gap model is rejected while the structuralist model is statistically validated in the tests. This evidence points strongly to the need to take agricultural prices into account when designing anti-inflationary policy in India.
Keywords: Inflation in India; New Keynesian Phillips Curve; Structuralist macroeconomics (search for similar items in EconPapers)
JEL-codes: E31 E52 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s40953-021-00238-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jqecon:v:19:y:2021:i:3:d:10.1007_s40953-021-00238-y
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40953
DOI: 10.1007/s40953-021-00238-y
Access Statistics for this article
Journal of Quantitative Economics is currently edited by Dilip Nachane and P.G. Babu
More articles in Journal of Quantitative Economics from Springer, The Indian Econometric Society (TIES) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().