Impact of macroeconomic factors on inflation: An assessment on indian economy by using vector auto-regressive modeling
Mihir Dash () and
Gopi Pachetas
Additional contact information
Gopi Pachetas: Alliance University, Chikkahagade Cross, Chandpura-Anekal Road, Anekal, Bangalore, India
International Journal of Decision Sciences & Applications (2528-956X), 2020, vol. 1, issue 1, 23-28
Abstract:
Inflation is the sustained rise in the prices of commodities. Central Banks have the critical responsibility of ensuring price stability; however, every attempt should be made to ensure that price stability should not hit economic growth. Thus, it becomes imperative for Central Banks to determine the key fiscal and monetary factors that have the greatest impact on domestic price levels. Based on these factors, it can tackle the problem of inflation effectively and efficiently. Further, there are several global price indices and factors that need to be factored in while tackling the problem of inflation. The objective of the current study is to empirically determine the macroeconomic factors that play a significant role in influencing inflation in India. The study considers international food and oil price indices amongst other macroeconomic variables such as the fiscal deficit, index of industrial production, exchange rate, MIBOR, and money supply in order to explain inflation. Monthly data for each of the above variables were collected for the research period 2000-10. The study is based on Vector Auto-Regressive modeling. The Augmented Dickey-Fuller Unit Root Test was performed to test for stationarity of all of the time-series data. The results of the Granger causality tests indicate that fiscal indicators such as fiscal deficit and international factors such as international food and oil price indices play a significant role in influencing inflation. The research outcomes conform to the results of several earlier studies. Key Words:Inflation, fiscal and monetary factors, macroeconomic factors, vector autoregressive modeling, Granger causality test
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.ssbfnet.com/ojs/index.php/ijdsa/article/view/1427/1027 (application/pdf)
https://doi.org/10.20525/ijdsa.v1i1.1427 (text/html)
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:rbs:ijdsaa:v:1:y:2020:i:1:p:23-28
Access Statistics for this article
International Journal of Decision Sciences & Applications (2528-956X) is currently edited by Prof.Dr.Hasan Dincer
More articles in International Journal of Decision Sciences & Applications (2528-956X) from Center for the Strategic Studies in Business and Finance IJDSA Editorial Office: IMU, School of Business. Contact information at EDIRC.
Bibliographic data for series maintained by Prof.Dr.Hasan Dincer ().