Model Specification Testing in Nonparametric and Semiparametric Time Series Econometric Models
We propose a simultaneous model specification procedure for the conditional mean and conditional variance in nonparametric and semiparametric time series econometric models. An adaptive and optimal model specification test procedure is then constructed and its asymptotic properties are investigated. The main results extend and generalize existing results for testing the mean of a fixed design nonparametric regression model to the testing of both the conditional mean and conditional variance nonparametric and semiparametric time series econometric models. In addition, we develop computer-intensive bootstrap simulation procedures for the selection of an interval of bandwidth parameters as well as the choice of asymptotic critical values. An example of implementation is given to show how to implement the proposed simultaneous model specification procedure in practice. Moreover, finite sample studies are presented to support the proposed test procedure
Year of publication: |
2004-08-11
|
---|---|
Authors: | Gao, Jiti ; King, Maxwell |
Institutions: | Econometric Society |
Subject: | model specification | nonpatametric and semiparametric time series econometrics |
Saved in:
Series: | |
---|---|
Type of publication: | Book / Working Paper |
Notes: | The text is part of a series Econometric Society North American Winter Meetings 2004 Number 225 |
Classification: | C14 - Semiparametric and Nonparametric Methods ; C22 - Time-Series Models |
Source: |
Persistent link: https://www.econbiz.de/10005063586
Saved in favorites
Similar items by subject
-
Nonlinear time series: semiparametric and nonparametric methods
Gao, Jiti, (2007)
-
Estimation and model specification testing in nonparametric and semiparametric econometric models
Gao, Jiti, (2003)
-
Chakraborty, Indrani, (1997)
- More ...
Similar items by person