| dc.description.abstract | This article attempts to estimate demand for M2 money in Indonesia using time
series non-stationary technique in 1997.1 - 2006.4. There are four methods are used
in research, first, VAR estimation used to forecast model which have interaction of
data time series. Second, function impulse response to see response from every
variable to structural innovation of the other variables at the same time. Third,
variance decomposition to know dissociating variation change of shock from each
variable to other variables in model. Fourth method, ADL ECM to see long-range
adjustment in variable, before and after addition of variable. The result, there are
non-stationary condition in the time series data in the research. Result of VAR
estimation show that there is no causality relation two ways among fifth of variable.
From impulse, response known that response of M2 variable to other variable very
fluctuative but finally the condition will return to stabilize. | en_US |
