Determinants of Food Inflation in India

Anirudh Narula

Indian Journal of Agricultural Economics, 2019, vol. 74, issue 02

Abstract: This paper aims to elucidate the different determinants of food inflation in India over 1997 to 2017. The paper uses a Vector Error Correction Model (VECM), and a Vector Auto Regression Model (VAR).The paper considers both supply and demand-side determinants on an annualised scale. The VECM model finds a long-run relationship between Food Inflation in India, Area under Acreage, Minimum Support Prices (MSP), and the trend in Urban Population. The VAR model finds a relationship between Food Inflation, and the FAO’s Food Price Index; Food Inflation, and Total Cost of Cultivation; and Food Inflation and the Long Period Average at I (1).

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ageconsearch.umn.edu/record/343384/files/D ... ion%20in%20India.pdf (application/pdf)

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:ags:inijae:343384

DOI: 10.22004/ag.econ.343384

Access Statistics for this article

More articles in Indian Journal of Agricultural Economics from Indian Society of Agricultural Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().