Detail publikace

Early Warning Indicators of Crisis Incidence: Evidence from a Panel of 40 Developed Countries

Autor: doc. PhDr. Tomáš Havránek Ph.D., Jan Babecký, Jakub Matějů, Bořek Vašíček
PhDr. Marek Rusnák , Jan Babecký, Jakub Matějů, Bořek Vašíček
† prof. Mgr. Kateřina Šmídková M.A., Ph.D., Jan Babecký, Jakub Matějů, Bořek Vašíček
Typ: IES Working Papers
Rok: 2011
Číslo: 36
Publikováno v: IES Working Papers 36/2011
Místo vydání: Prague
Klíčová slova: Early warning indicators, Bayesian model averaging, panel VAR, dynamic panel, macro-prudential policies.
JEL kódy: C33, E44, E58, F47, G01
Citace: Babecký, J., Havránek, T., Matějů. J., Rusnák, M., Šmídková, K.,Vašíček, B. (2011). “Early Warning Indicators of Crisis Incidence: Evidence from a Panel of 40 Developed Countries” IES Working Paper 36/2011. IES FSV. Charles University.
Abstrakt: We provide a critical review of the literature on early warning indicators of economics crises and propose methods to overcome several pitfalls of the previous contributions. We use a quarterly panel of 40 EU and OECD countries for the period 1970–2010. As the response variable, we construct a continuous index of crisis incidence capturing the real costs for the economy. As the potential warning indicators, we evaluate a wide range of variables, selected according to the previous literature and our own considerations. For each potential indicator we determine the optimal lead employing panel vector autoregression, then we select useful indicators employing Bayesian model averaging. We re-estimate the resulting specification by system GMM to account for potential endogeneity of some indicators. Subsequently, to allow for country heterogeneity, we evaluate the random coefficients estimator and illustrate the stability among endogenous clusters. Our results suggest that global variables rank among the most useful early warning indicators. In addition, housing prices emerge consistently as an important domestic source of risk.
Ke stažení: WP 2011_36_Babecky et al
Prosinec 2017


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