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This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs). After describing the Bayesian principle of estimation, we first present the methodology originally developed by Litterman (1986) and Doan et al. (1984) and review alternative...
Persistent link: https://www.econbiz.de/10005825693
Persistent link: https://www.econbiz.de/10004092497
This paper studies asymptotically the bias of the fixed effect (FE) estimator induced by cross-section heterogeneity in the slope parameters of stationary vector autoregressions (VARs). The paper also compares the FE, the mean group estimator (MG), and a simple instrumental variable alternative...
Persistent link: https://www.econbiz.de/10005263898
In a recent paper, Bai and Perron (2006) demonstrate that their approach for testing for multiple structural breaks in time series works well in large samples, but they found substantial deviations in both the size and power of their tests in smaller samples. We propose modifying their...
Persistent link: https://www.econbiz.de/10005264217
Persistent link: https://www.econbiz.de/10009396391
Schmidt (1977), to disturbance autocorrelation in regression analysis. Porter and Kashyap (1984) show that RESET is not robust … sensitive to disturbance autocorrelation even when the regressors are not autocorrelated. We explain the findings of Thursby …
Persistent link: https://www.econbiz.de/10005612909
effects, such as return autocorrelation and volatility clustering, are included in the return generating process. Our findings … frequencies adopted in the literature. In the case of return autocorrelation, there will be systematic biases. Further, we …
Persistent link: https://www.econbiz.de/10008603210