DETECTING OF TURNING POINTS IN BUSINESS CYCLES OF IRANIAN ECONOMY THROUGH AUTOREGRESSIVE MARKOV SWITCHING MODEL

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HOJABR KIANI K.; MORADI A.

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Journal: Journal of Economic Modelling Year:2011 | Volume:5 | Issue:2 (14) Page(s): 1-25

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Information Journal Paper

Title

DETECTING OF TURNING POINTS IN BUSINESS CYCLES OF IRANIAN ECONOMY THROUGH AUTOREGRESSIVE MARKOV SWITCHING MODEL

Author(s)

HOJABR KIANI K. | MORADI A. | Issue Writer Certificate

Keywords

BUSINESS CYCLEQ2

AUTOREGRESSIVE MARKOV SWITCHING MODELQ2

TURNING POINTSQ2

Abstract

This study was to investigate, TURNING POINTS in BUSINESS CYCLEs in the economy of Iran using seasonal date during (1981:1-2008:2). To make it practical AUTOREGRESSIVE MARKOV SWITCHING MODEL by Hamilton (1989) was used. Today this approach is used in many advanced countries in order to identify and dating of cycle. Results showed that in that period in three junctures four records happened. The longest records are during [1991:2-1998:2], with the duration of 7 seasons. In addition to that results showed that in under discussion period every time a record happens in countries for about 1.74 seasons. While the appearance of every Boom in under discussion period in the economy of Iran continued 6.66 seasons.

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APA: Copy

HOJABR KIANI, K., & MORADI, A.. (2011). DETECTING OF TURNING POINTS IN BUSINESS CYCLES OF IRANIAN ECONOMY THROUGH AUTOREGRESSIVE MARKOV SWITCHING MODEL. ECONOMIC MODELLING, 5(2 (14)), 1-25. SID. https://sid.ir/paper/176375/en

Vancouver: Copy

HOJABR KIANI K., MORADI A.. DETECTING OF TURNING POINTS IN BUSINESS CYCLES OF IRANIAN ECONOMY THROUGH AUTOREGRESSIVE MARKOV SWITCHING MODEL. ECONOMIC MODELLING[Internet]. 2011;5(2 (14)):1-25. Available from: https://sid.ir/paper/176375/en

IEEE: Copy

K. HOJABR KIANI, and A. MORADI, “DETECTING OF TURNING POINTS IN BUSINESS CYCLES OF IRANIAN ECONOMY THROUGH AUTOREGRESSIVE MARKOV SWITCHING MODEL,” ECONOMIC MODELLING, vol. 5, no. 2 (14), pp. 1–25, 2011, [Online]. Available: https://sid.ir/paper/176375/en

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