Moradi, A. (2017). Nonlinearity and Asymmetries in Iranian Business Cycle: Through Markov Switching Auto Regression Model. Medbiotech Journal, 01(03), 104-108. doi: 10.22034/mbt.2017.86983
Alireza Moradi. "Nonlinearity and Asymmetries in Iranian Business Cycle: Through Markov Switching Auto Regression Model". Medbiotech Journal, 01, 03, 2017, 104-108. doi: 10.22034/mbt.2017.86983
Moradi, A. (2017). 'Nonlinearity and Asymmetries in Iranian Business Cycle: Through Markov Switching Auto Regression Model', Medbiotech Journal, 01(03), pp. 104-108. doi: 10.22034/mbt.2017.86983
Moradi, A. Nonlinearity and Asymmetries in Iranian Business Cycle: Through Markov Switching Auto Regression Model. Medbiotech Journal, 2017; 01(03): 104-108. doi: 10.22034/mbt.2017.86983
Nonlinearity and Asymmetries in Iranian Business Cycle: Through Markov Switching Auto Regression Model
PhD in Economics, Economic Department, Islamic Azad University, Kermanshah Branch, Kermanshah, Iran
Receive Date: 11 May 2017,
Revise Date: 27 May 2019,
Accept Date: 15 June 2017
Abstract
This paper presents the results of an empirical investigation of business cycle nonlinearities and asymmetries in the Iranian economy. Seasonal Gross Domestic Products (GDP) time series are subjected to nonlinearity and asymmetry tests. The recessions and expansions states are modeled with Markov-Switching Autoregressive models (MSM). The paper shows that allowing for three regimes for the finding of asymmetry and nonlinearity in Iranian business cycle fluctuations. The paper also provides evidence on the usefulness of a non-linear model as compared with a linear alternative in the context of business cycle research in an emerging economy using LR test.
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