How do you incorporate turning points in panel ARDL models?

In panel ARDL models, turning points can be incorporated by introducing non-linear terms in the model equations. This can be done by including squared or higher-order terms of the independent variables that are suspected to have non-linear effects on the dependent variable. By including these non-linear terms, the model is able to capture any potential turning points and better represent the relationship between the variables. Additionally, it is important to conduct diagnostic tests to ensure that the chosen functional form is appropriate and that the model is correctly capturing the turning points in the data.
This mind map was published on 21 February 2024 and has been viewed 77 times.

You May Also Like

What are the key features of Elixir?

How can GPT be leveraged to provide AI services?

How can social media be utilized for marketing and sales?

What are nanofibrils?

What are the long-term effects of financial development on economic growth?

How does non-linear causality impact economic growth?

How can non-linear causality be observed in the context of financial development and economic growth?

What are the types of turning points in ARDL models?

How can Transfer Entropy be used in studying nonlinear causality?

What is wavelet coherence causality?

How does it help study nonlinear causality?

What are the advantages in studying financial development?