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• W2896315283 abstract "Abstract Over a long horizon, this paper examines joint economic crises and determines the power of 49 variables in predicting such episodes. While incorporating dynamism in the prediction, we generate the predictive power of various specifications and model the uncertainty in the parameters of interest. The results reveal that growth of real gross domestic product per capita, regulation, bank non‐performing loans, interest rate and inflation rate are the most significant variables in predicting the joint economic crises. These variables predict economic crises with about 93% accuracy and can predict joint economic crises in developing countries and recent joint crises." @default.
• W2896315283 created "2018-10-26" @default.
• W2896315283 creator A5037471320 @default.
• W2896315283 date "2018-10-12" @default.
• W2896315283 modified "2023-09-26" @default.
• W2896315283 title "The exploration of economic crises: parameter uncertainty and predictive ability" @default.
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• W2896315283 doi "https://doi.org/10.1111/sjpe.12199" @default.
• W2896315283 hasPublicationYear "2018" @default.
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