I wants to estimate the pre-and post liberalization impacts of trade on economic growth in Markov Switching Modelling.Which variable shall be dependent GDP or Trade. Thanks
models of time series that transition over a set finite states, states are unobserved and the process can switch among state, and the transition follow a Markov process.
allow states to switch according to Markov process ,also for quick adjustment,after change of state,often applied to high frequency data(monthly,weekly,atc)
Markov switching AR model:
this can be allow states to switch according to Markov process ,also gradual adjustment after change of state,it can be used with lower frequency data (quarterly, yearly ,etc)either notes you can use with the auto regressive Markove models.
i hope that i well give some notice about the Markove switching model.
you can use the trade as a dependent variables to measure the liberalization,and independent column vector consist of GDP,population, openness,migration ,stability of country ,freedom as dummy variable,etc
Just a question, as I am not a specialist in this switching model issue.
In standard econometrics, using trade value as an indicator of trade policy is debatable. Indeed, it raises a very serious endogeneity bias (reverse causation in particular). This was the reason we build trade policy indices many years ago to estimate the impact of structural reforms on growth.
If such a risk exists in your case (as I suspect) then you have a problem.
Without entering into the significant data crunching involved in developing such policy indices, I suggest to look for ready-made policy indicators or use a mix if average tariff plus tariff variance to characterize trade policy without having to use trade flows.