Open Access
Subscription Access
Modeling Inflation in India : A Univariate Approach
Subscribe/Renew Journal
To attain a high level of economic growth with a moderate level of inflation is one of the prime objectives of a developing country. However, a high rate of inflation has become a matter of great concern for many developing countries since the last decade. In India, a high inflation rate has always been an issue of serious concern for the government, policy makers, and academic researchers. In this context, the paper aimed to reach an appropriate diagnosis to understand the nature, structure, and factors responsible for the rise of inflation. The paper focused on the analysis and examination of the monthly inflation spiral of the Indian economy. We used the "Box – Jenkins Methodology" for empirical investigation and the modeling of inflation in India for the monthly WPI data from January 2000 – March 2020. The results of the research indicated that in India, monthly WPI series is non-normal and integrated of order one. Furthermore, research conclusions indicated that the data is integrated of order one, and the estimated ARIMA (1,12–1–0) model fit well with the data and provided essential information for forecasting inflation patterns in India. The model developed as a result of the study can be used as a tool for framing macroeconomic policies as well as can be used in the business decision-making process.
Keywords
Inflation, WPI, Box–Jenkins.
User
Subscription
Login to verify subscription
Font Size
Information
- Buelens, C. (2012). Inflation forecasting and the crisis : Assessing the impact on the performance of different forecasting models and methods (European Economy Research Papers, No. 451). European Commission, Directorate - General for Economic and Financial Affairs Publications. http://dx.doi.org/10.2765/25913
- Callen, T., & Chang, D. (1999). Modeling and forecasting inflation in India (IMF Working Paper WP/99/119). Retrieved from http://www.imf.org/external/pubs/ft.wp/1999/wp99119.pdf
- Doguwa, S. I., & Alade, S. O. (2013). Short-term inflation forecasting models for Nigeria. CBN Journal of Applied Statistics, 4(2), 1 – 29.
- Duncan, R., & Garcia E. M. (2018, June 08). As good as a random walk : Inflation forecasting in emerging market economies. CEPR's Policy Portal. Retrieved from https://voxeu.org/article/inflation-forecastingemergingmarket-economies
- Enders, W. (2014). Applied econometric time series (3rd ed.). New Delhi : Wiley Publications.
- Gujarati, D., Porter, D., & Gunasekar, S. (2017). Basic econometrics (5th ed.). New Delhi : McGraw Hill.
- Hanif, M. N., & Malik, M. J. (2015). Evaluating performance of inflation forecasting models of Pakistan (MPRA Research Paper No. 66843). Retrieved from https://mpra.ub.uni-muenchen.de/66843/
- Kundan, K. N. (2009). Modeling inflation in India : The role of money (MPRA Paper No. 16098). Retrieved from http://mpra.ub.uni-muenchen.de/16098/
- Lack, C. (2006). Forecasting Swiss inflation using VAR models. Swiss National Bank Economics Studies, No II. Retrieved from https://www.semanticscholar.org/paper/Forecasting-Swiss-inflation-using-VARmodelsLack/bd458fc689c9dab3d451bf53d8e535d0578b8e13
- Liew, F. C. (2012). Forecasting inflation in Asian economies (Master's thesis). Singapore Management University. Retrieved from https://ink.library.smu.edu.sg/etd_coll/81/
- Mahasuar, K. J. (2012) Economic growth and inflation: A perspective. Arthshastra Indian Journal of Economics & Research, 1(2), 30 – 34. http://doi.org/10.17010/aijer/2012/v1i2/54487
- Meyler, A., Kenny, G., & Quinn, T. (1998). Forecasting Irish inflation using ARIMA models (MPRA Research Paper No. 11359). Retrieved from https://mpra.ub.uni-muenchen.de/11359/
- Pattnaik, R. K., & Samantaraya, A. (2006). Indian experience of inflation : A review of the evolving process. Economics and Political Weekly, 41(4), 349–357. https://www.jstor.org/stable/4417737?seq=1
- Reddy , Y. V.(1999).Indian inflation:Status and issues.Retrieved from https://www.rbi.org.in/scripts/BS_SpeechesView.aspx?Id=33
- Saxena, S., & Bhadauriya, S. (2013). Co-integration analysis of the determinants of inflation in India. Arthshastra Indian Journal of Economics & Research,1(2),4–12.http://doi.org/10.17010/aijer/2013/v2i2/54507
Abstract Views: 256
PDF Views: 0