INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Vector Error Correction Model (VECM) which can be used for data series which are non stationery and have co integration relationship (long term relationship). This study involved one variable and the model VAR (Vector Autoregressive) has been used. Before the model can be chosen, the stationary data must be check. In testing the stationary data, a combination of time series plot, correlogram of ACF and unit root test can be used. The next step is to test the co integration to analyze the long term relationship among the variables used in this study. When the data are stationary as at ordered and there is a co integration relationship as large as r, then the model VAR which is going to be used is Vector Error Correction Model (VECM). In this study the data which are going to be analyzed are Protein Food Productions. The data used in this study was obtained from 1985-2019.
Keywords:
Food Production, Granger Co-integration Test VECM
Cite Article:
"Forecasting for Protein Food Items Productions in India: Granger Co-integration Test for VECM ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 10, page no.324-329, October-2022, Available :http://www.ijnrd.org/papers/IJNRD2210167.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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