Am 22.08.2020 um 17:59 schrieb Artur Tarassow:
Am 22.08.20 um 17:34 schrieb Sven Schreiber:
> Am 22.08.2020 um 10:55 schrieb f.marchini(a)studenti.unibg.it:
>> Thank you for your answer. Following the literature I adopted the
>> following equation:
>>
>>
DLnTBt=a'+Σb'*DLnTBt-k+Σc'*DLnYt-k+Σd'*DLnYWt-k+Σe'*DPOSt-k+Σf'*DNEGt-k+θ0*LnTBt-1+θ1*LnYt-1+θ2*LnYWt-1+θ3*POSt-1+θ4*NEGt-1+εt
>>
>>
>> where POSt and NEGt are the two variables obtained from the partial
>> sum of positive and negative changes of the lnREX variable.
>
> OK. Please try to use at least some blanks to increase the readability
> of such a formula line in pseudo-code. (Of course Latex notation would
> also help, but not necessary.)
>
> (BTW, I've seen these constructed partial sums before, but I don't
> remember whether it was actually OK to apply the standard regression
> inference theory to them. The answer above ignores those doubts and is
> just about a restriction formulation in gretl.)
Standard regression inference theory applies here too as shown by Shin
et al. They show that for both long- and short-run tests on symmetry.
The reference is:
https://link.springer.com/chapter/10.1007/978-1-4899-8008-3_9
Strictly speaking they require a conditional ECM it seems. From
F.Marchini's formulation is not clear whether that holds. (Whether k
starts at 0.)
cheers
sven