Nonlinear Liquidity Effects on the Agriculture Sector Value Added; A Threshold Approach-based

Document Type : Review Article

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Abstract

In this article, the nonlinear relationship between liquidity and value added of agriculture sector is investigated based on STAR method during 1960-2011. The results of nonlinear STAR method suggest that the estimated value of threshold parameter and transfer rate parameter are -0.0309 and 11.7424 respectively. The high value of parameter shows the high transfer rate from regime one to two. As can be seen, the effectiveness of variables in regime one is different from regime two. In regime one and two, the coefficient of the value of agricultural exports' variable, are 0.1447 and 0.2093, respectively. In other words, the increase in the value of agricultural exports in both regimes causes the increase in value added of the agriculture sector. The general coefficient (the coefficient of the variable plus the coefficient of the first lag of that variable) of real exchange rate variable in regime one and two is 0.3025 and 0.1575, respectively. Based on these results, the real exchange rate in both regimes has a positive effect on value added of the agriculture sector. The general coefficient of liquidity variable in regimes one and two is 0.2142 and 0.6424, respectively. The general coefficient of the variable of the price index of agricultural products is not of the same sign in two regimes unlike the other three variables, and is -0.2587 and 0.30722, in regimes one and two respectively.

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References

Enders, W. (2004). Applied Econometric Time Series, 3rd Ed.
Frank, J. and Garcia. P. (2006). Selected paper prepared for the presentation at the American Agricultural Economics Association meeting, long Beach, California, July, 23-26.
Godfrey, L. (1988). Misspecification Tests in Econometrics, Cambridge University Press, Cambridge.
Irina, B. and Lansink, A. (2003). contributed paper selected for presentation at the 25th Internation conference of Agricultural Economists, August 16-22, Durban, South Africa.
John Cochrane, H. (1998). What Do The VARs Mean? Measuring the Output Effects of Monetary Policy'. Journal of Monetary Economics.PP.277-300.
Terasvirta, T. (1998). Modeling economic relationships with smooth transition regressions, in A. Ullah and D. Giles (eds), Handbook of Applied Economic Statistics, Dekker, New York, pp. 229-246.
Van Dijk, D, Hans, F and Philip, H. (1999). Modeling Multiple Regimes in the Business Cycle, Macroeconomic Dynamics, Vol. 3.

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