![]() There are few cases mentioned in the above study like creation and destruction of jobs in boom and recession. The idea behind this model is questioning the standard assumption of symmetric estimates, by which the effect of increasing of a variable is equal and opposite to the decreasing of the same variable. This blog is illustrating the Non-linear ARDL cointegrating bounds which is also called Asymmetric Effects ARDL (NARDL) proposed by ( Shin, Yu & Greenwood-Nimmo, 2014). With my current experience, I would recommend using Microfit or Eviews for ARDL, but one must be cautious with calculation glitches when they are using the crack version of Eviews. The comments and suggestions I received for them were very helpful. In my previous try on ARDL cointegrating bounds using Microfit here, Eviews here and here, and using STATA here.
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