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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:1, January, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(1): 40-49
DOI: https://doi.org/10.20546/ijcmas.2018.701.006


Study on Panel Cointegration, Regression and Causality Analysis in Papaya Markets of India
A. Revathy* and P. Paramasivam
Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
*Corresponding author
Abstract:

This paper employs the panel cointegration tests to analyse the long run relationships between papaya markets in India, using data of monthly average wholesale papaya price from January, 2001 to December, 2016. Cointegration analysis and the cointegration regression are applied along with the causality test to find the long run relationship between markets. The result indicated that there is a panel long-run equilibrium relationship among the markets. The regression coefficients of both FMOLS and DOLS indicated that Bangalore market price heavily influences the price of papaya in Chennai market with the regression coefficient value of 5.7 per cent and 5.6 per cent respectively. Both Pairwise Granger causality and Dumitrescu Hurlin Panel causality test also confirms bidirectional relationship among Bangalore market and Ahmedabad market. Bidirectional relationship was also found in Chennai and Bangalore, Bangalore and Bhopal markets. Finally, it is observed that Bangalore market price influences the price series in other market of our study. Still market integration can be improved by making up-to-date market information available to all participants.


Keywords: Cointegration, Causality, Cointegration regression

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How to cite this article:

Revathy, A. and Paramasivam, P. 2018. Study on Panel Co-integration, Regression and Causality Analysis in Papaya Markets of India.Int.J.Curr.Microbiol.App.Sci. 7(1): 40-49. doi: https://doi.org/10.20546/ijcmas.2018.701.006
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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