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From |
Christopher F Baum <[email protected]> |

To |
[email protected] |

Subject |
st: Re: VAR on panel data |

Date |
Wed, 1 Sep 2004 07:09:03 -0400 |

On Sep 1, 2004, at 2:33 AM, John wrote:

A VAR is a set of OLS regressions of several Y variables on a set of lags of all of the Ys plus, optionally, some Xs. You seem to have three dependent variables (Y, x1, x2). By default the var command will regress each of the dep vars on two lags of all of the dep vars. If the data are stacked in "long" format, so that you have used a panel tsset to define that these are panel data, var will not run at all. If you don't use tsset, var will treat the first observation on the second country as the T+1st observation of the first country, and so on when it takes lags. This will make no sense at all.

I'm interested in fitting a var model with some exogenous variables on panel

data for N countries.

I figured an easy way to do this would be

- -var y x1 x2, exog(country1-countryN other) noc

where "country" are indicator variables giving a country-specific intercept,

and "other" are other exogenous variables.

Are there any problems with such an approach? Does this approach assume that

the country effects are Fixed Effects? Is this a problem?

So no, I don't see that VAR is what you're looking for. Why not just fit a dynamic panel data model (xtabond or xtabond2)? That would appear to be closer to the specificatiion you are considering.

Kit

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