The effects of small sample bias in Threshold Autoregressive models
This paper investigates Threshold Autoregressive (TAR) models that contain a limited number of observations in some regimes. Simulations show that within the context of the real exchange rate literature, parameter estimates exhibit significant small sample bias even with long time series data. These distortions create substantial power losses in attempting to identify values of coefficients from data.
Year of publication: |
2008
|
---|---|
Authors: | Ahmad, Yamin S. |
Published in: |
Economics Letters. - Elsevier, ISSN 0165-1765. - Vol. 101.2008, 1, p. 6-8
|
Publisher: |
Elsevier |
Keywords: | Threshold Autoregressive models Nonlinear models Small sample bias Real exchange rates Simulation |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
The effects of small sample bias in Threshold Autoregressive models
Ahmad, Yamin S., (2008)
-
The effects of small sample bias in Threshold Autoregressive models
Ahmad, Yamin S., (2008)
-
Implications for Determinacy with Average Inflation Targeting
Ahmad, Yamin S., (2022)
- More ...