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-transaction duration process and vice versa. In order to solve the estimation problems implied by this interdependent formulation, we first … propose a GMM estimation procedure for the Autoregressive Conditional Duration model. The method is then extended to the … simultaneous estimation of the interdependent duration-volatility model. In an empirical application we utilize the model for an …
Persistent link: https://www.econbiz.de/10009579173
Chaudhuri, Doksum and Samarov (1997) have recently stressed the usefulness of the quantile regression formulation for survival analysis and for transformation models, more generally. In this paper, we explore the use of quantile regression in survival analysis by reanalysing a large experimental...
Persistent link: https://www.econbiz.de/10009580464
Persistent link: https://www.econbiz.de/10009578574
nonzero mean of the t-statistic in the case of an OLS detrending method. In this paper the local power of panel unit root …
Persistent link: https://www.econbiz.de/10009581103
Persistent link: https://www.econbiz.de/10001919013
We propose a method of modeling panel time series data with both inter- and intra-individual correlation, and of … series ; Autoregressive ; Burg-type estimates ; Intercorrelated ; Panel data …
Persistent link: https://www.econbiz.de/10009578021
In this paper a parametric framework for stimation and inference in cointegrated panel data models is considered that …
Persistent link: https://www.econbiz.de/10009620776
Persistent link: https://www.econbiz.de/10009611553
not invariant with respect to the investigated sample period. -- Purchasing power parity ; Panel cointegration ; Wild …
Persistent link: https://www.econbiz.de/10009612044
Bayes estimates are derived in multivariate linear models with unknown distribution. The prior distribution is defined using a Dirichlet prior for the unknown error distribution and a ormal-Wishart distribution for the parameters. The posterior distribution for the parameters is determined and...
Persistent link: https://www.econbiz.de/10009626682