Dear all,
I work with an unbalanced panel data of 100 individuals (CPI-U subcategories) and monthly data from 1950 to 2020. I want to study inflation volatility using GARCH models.
This has been done in papers like this and this (see citations below), back in 2010 and 2016, but authors were using RATS, that I do not have. They indicated me the routine for RATS was available here.
I imagine Stata has a way to do it, but I did not find it in the panel data manual, help arch or forums...
How could I use Stata to regress an
where lnif_a is
if lninf_a is available for the 100 individuals in the panel? I do not want a regression for each panel, but one for all.
Thank you in advance for your help.
I work with an unbalanced panel data of 100 individuals (CPI-U subcategories) and monthly data from 1950 to 2020. I want to study inflation volatility using GARCH models.
This has been done in papers like this and this (see citations below), back in 2010 and 2016, but authors were using RATS, that I do not have. They indicated me the routine for RATS was available here.
I imagine Stata has a way to do it, but I did not find it in the panel data manual, help arch or forums...
How could I use Stata to regress an
Code:
arch lninf_a, ar(2) ma(0) arch(1) garch(1)
Code:
ln(inflation)-ln(inflation_[n-12])
Thank you in advance for your help.
- Lee, Jim, 2010. "The link between output growth and volatility: Evidence from a GARCH model with panel data," Economics Letters, Elsevier, vol. 106(2), pages 143-145, February.
- Jim Lee & Harold Glenn A. Valera, 2016. "Price transmission and volatility spillovers in Asian rice markets: Evidence from MGARCH and panel GARCH models," The International Trade Journal, Taylor & Francis Journals, vol. 30(1), pages 14-32, January.
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