Contents
What is ARDL approach?
An autoregressive distributed lag (ARDL) model is an ordinary least square (OLS) based model which is applicable for both non-stationary time series as well as for times series with mixed order of integration.
What are the advantages of using ARDL methods in time series data?
One of the advantages of ARDL test is that it is more robust and performs better for small sample size of data which suitable for this research. The sample size is 43 years for each country. The annual time series data of saving and investment ratio as percentage of GDP in each country were utilized in this study.
What does Ardl stand for?
“ARDL” stands for “Autoregressive-Distributed Lag”. Regression models of this type have been in use for decades, but in more recent times they have been shown to provide a very valuable vehicle for testing for the presence of long-run relationships between economic time-series.
When to use short run and long run in ARDL?
If there exists a long-run equilibrium between X and Y, then in the equilibrium time subscripts do not matter. You should essentially interpret these long-run level terms without time subscripts. In the long-run, a change of X by 1 unit has an effect on Y by ‘theta’ units (given by the long-run coefficient).
Which is an advantage of the ARDL model?
The advantage of ARDL that order of integration does not matter is refereed in the case of independent variables. Autoregressive distributed lag models (ARDL) do not require nonstationary data at all. Note that AR (p) models are often stationary.
When is the ARDL model reparameterized into ECM?
The ARDL model is reparameterized into ECM when there is one cointegrating vector among the underlying variables. The reparameterized result gives the short-run dynamics and long run relationship of the underlying variables.
How to run Wald test to test the short run?
The appropriate way to test for a zero loading on the error correction term is to use the Johansen procedure and test the restriction on the alpha loading matrix. The appropriate method is set out in your link to the EVIEWS manual under | Advanced Multivariate Analysis | Johansen Cointegration Test | Imposing Restrictions |