JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 356
Type: Contributed
Date/Time: Tuesday, August 6, 2013 : 10:30 AM to 12:20 PM
Sponsor: Business and Economic Statistics Section
Abstract - #308096
Title: Statistical Inference in Infinite-Order Cointegrated Vector Autoregressive Processes Under Uncorrelated but Dependent Errors
Author(s): Chafik Bouhaddioui*+
Companies: United Arab Emirates University
Keywords: Cointegrated Processes ; Weak Errors ; Autoregressive processes ; Infinite order ; LR tests ; QML Estimators
Abstract:

The concept of cointegration processes is one of the most used concepts in economics and finance. Mainly, researchers are interested in behavior of the estimators of the model parameters. In this paper, we will investigate the asymptotic behavior of the estimators of an infinite-order cointegrated vector autoregressive series under nonindependent errors by showing its asymptotic distribution. Using this result, we will construct a Likelihood Ratio (LR) test of the cointegration rank. One can also develop a method under unrestrictive assumptions to select the autoregressive order.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2013 program




2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.