Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/56918
Type: Conference paper
Title: A semiparametric approach to nonlinear ACD model
Author: Wongsaart, Pipat
Gao, Jiti
Allen, David E.
Citation: Proceedings of the 38th Australian Conference of Economists, held at The University of Adelaide 28-30 September 2009.
Publisher: University of Adelaide
Issue Date: 2009
Conference Name: Australian Conference of Economists (38th : 2009 : Adelaide, S.A.)
School/Discipline: School of Economics
Statement of
Responsibility: 
Pipat Wongsaart, Jiti Gao and David D. Allen
Abstract: This paper introduces a new semiparametric approach to a nonlinear ACD model, namely the Semiparametric ACD model. This new model is relatively flexible in the sense that the data are allowed to speak for themselves, without assumptions being imposed arbitrarily on its key component. Moreover, it enables a more thorough examination of the intertemporal importance of the conditional duration on the ACD process. Experimental analysis suggests that the new model possesses sound asymptotic characters, while its performance is also robust across data generating processes. Furthermore, the empirical analysis illustrates clear advantages of our model over its parametric counterparts
RMID: 0020095450
Description (link): http://pams.com.au/ace09/AM/Template.cfm?Section=Program
Appears in Collections:Economics publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.