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Mohammadi, H.; Torabi, S.
Author Affiliation :
Agricultural Economics Department, Ferdowsi University of Mashhad, Mashhad, Iran.
International Journal of Agronomy and Plant Production
The present study attempts to analyze the asymmetrical cointegration between agriculture and economic growth in Iran using Enders & Siklos (2001) method and some other techniques available for time series econometrics. To this end, first the Kwiatkowski-Phillips-Schmidt-Shin (KPSS) unit root test and then the Engle Grenger (EG) cointegration test were applied respectively to study the stationarity of the pattern variables, and long run and equilibrium relation after ascertaining the stationarity position of the variables. The results show the long run and equilibrium relation between variables. But the Engle Grenger cointegration test encounters to speciosity error in asymmetrical cointegration (Nonlinear relation). So for investigating this relation and following from Enders & Siklos method, both of Threshold Autoregressive (TAR) and Momentum-Threshold Autoregressive (M-TAR) models were used for asymmetrical cointegration. The results of estimating two mentioned patterns also show the asymmetrical cointegration among variables.
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Victor Quest Publications
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Indexing terms for this abstract:
agricultural sector, economic growth, models
Geographical Location(s) :
Broader term(s) :
Developing Countries, Middle East, Threshold Countries, West Asia, Asia