USING SMOOTH TRANSITION REGRESSION (STR) TO PREDICT BUSINESS CYCLES

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SHAHMORADI HARMONY; ABRISHAMI HAMID; PARIVAR ORANUS

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Journal: JOURNAL OF ECONOMICS & BUSINESS RESEARCH Year:2013 | Volume:3 | Issue:1 (4) Page(s): 65-74

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Information Journal Paper

Title

USING SMOOTH TRANSITION REGRESSION (STR) TO PREDICT BUSINESS CYCLES

Author(s)

SHAHMORADI HARMONY | ABRISHAMI HAMID | PARIVAR ORANUS | Issue Writer Certificate

Keywords

FORECASTINGQ2

BUSINESS CYCLESQ2

NON-LINEAR MODELSQ3

SMOOTH TRANSITION REGRESSIONQ2

Abstract

FORECASTING BUSINESS CYCLES is very important in macroeconomic and it is an important part in process of economic decision-making and policy. In recent years, NON-LINEAR MODELS have been considered more for FORECASTING economic variables and application of these models has been made a significant improvement in modeling of the behavior of variables in the area of macroeconomic and particularly financial economics. This article provides a convenient and powerful model for FORECASTING BUSINESS CYCLES by using SMOOTH TRANSITION REGRESSION (STR). The results show that very little error that indicates model performance is acceptable.

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APA: Copy

SHAHMORADI, HARMONY, ABRISHAMI, HAMID, & PARIVAR, ORANUS. (2013). USING SMOOTH TRANSITION REGRESSION (STR) TO PREDICT BUSINESS CYCLES. JOURNAL OF ECONOMICS & BUSINESS RESEARCH, 3(1 (4)), 65-74. SID. https://sid.ir/paper/201512/en

Vancouver: Copy

SHAHMORADI HARMONY, ABRISHAMI HAMID, PARIVAR ORANUS. USING SMOOTH TRANSITION REGRESSION (STR) TO PREDICT BUSINESS CYCLES. JOURNAL OF ECONOMICS & BUSINESS RESEARCH[Internet]. 2013;3(1 (4)):65-74. Available from: https://sid.ir/paper/201512/en

IEEE: Copy

HARMONY SHAHMORADI, HAMID ABRISHAMI, and ORANUS PARIVAR, “USING SMOOTH TRANSITION REGRESSION (STR) TO PREDICT BUSINESS CYCLES,” JOURNAL OF ECONOMICS & BUSINESS RESEARCH, vol. 3, no. 1 (4), pp. 65–74, 2013, [Online]. Available: https://sid.ir/paper/201512/en

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