Journal Article

·2015

Simulation-based estimation of threshold moving average models with contemporaneous shock asymmetry and an application to Turkish business cycles

Hüseyin Taştan YTU

Communications in Statistics - Simulation and Computation

Abstract

Persistence of shocks to economic time series may differ depending on the sign of the shock or on a threshold value. Threshold moving average (TMA) models, by explicitly taking into account threshold behavior, can help discriminate whether there exists persistence asymmetry. This article considers TMA models in which both contemporaneous and lagged asymmetric effects are both present and examines the properties of simulation-based efficient method of moments estimation using Monte Carlo simulation experiments. The model is applied to analyze the persistence properties of shocks to growth rates of gross domestic product and industrial production index in Turkish economy.

Keywords

Econometrics Asymmetry Business cycle Economics Monte Carlo method Sign (mathematics) Shock (circulatory) Persistence (discontinuity) Threshold model Turkish Gross domestic product Mathematics Value (mathematics) Estimation Statistics Statistical physics Physics Engineering Macroeconomics Mathematical analysis

Subject Areas

Monetary Policy and Economic Impact ·General Economics, Econometrics and Finance ·Social Sciences
Market Dynamics and Volatility ·Economics and Econometrics ·Social Sciences
Global Financial Crisis and Policies ·Finance ·Social Sciences

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