Whats the different of full maximum likelihood and multi step method to estimate inefficiency with four components in panel data?

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Chuck A Arize

https://www.bauer.uh.edu/rsusmel/phd/ec1-15.pdf

Muneeb Shah

The full maximum likelihood approach is more flexible and allows for more complex modeling assumptions, but it often require a larger sample size and more computational resources. The multi-step approach is computationally simpler and more suitable for smaller sample sizes and less complex data structures

Farina Saei

thank you for your answers