DISTRIB Procedure

@DISTRIB is an old procedure for doing distribution of a series to a higher frequency. (Distribution transforms the data to a higher frequency while maintaining the sum). The newer procedure for this is @DISAGGREGATE.

@DISTRIB(options) oldser newser

Parameters

oldser	series to interpolate. This should be set up in the higher frequency (monthly in the example). @DISTRIB takes as the value to distribute the last month of each quarter.
newser	higher frequency series to create

Options

MODEL=[RW1]/AR1/RWAR1/RW2

Specifies one of several statistical models for the process. RW1 is a random walk, AR1 is a first order autoregression, RWAR1 is an ARIMA(1,1,0) and RW2 is ARIMA(0,2,0).

RHO=value of the AR1 parameter for AR1 and RWAR1 models [.9]

FACTOR=increase in the recording frequency (3 for quarterly to monthly)

Equivalent Use in @DISAGGREGATE

@DISTRIB(MODEL=model,RHO=rho,FACTOR=factor) seriesa seriesb

is equivalent to

@DISAGGREGATE(MAINTAIN=SUM,TSMODEL=model,RHO=rho,FACTOR=factor)seriesa / seriesb

The RHO and FACTOR options have the same defaults in the two, so, in general, all you need to do to update a use of @DISTRIB to a newer @DISAGGREGATE is to add the MAINTAIN=SUM option, replace MODEL with TSMODEL and add the / for the range between the two series.