a mathematical statistcs question to complete

we need a writer to complete the calcuaion of a statisitcs questions given a STATA data. a STATA data file containing computer generated data on four time series, x,y,z and w and a series newt which is a quarterly time trend running from (1950:Q1 to 1999:Q4). Assume that the series x,y,z and w are already in logs [login to view URL] the order of integration of the series x,y,z and w, paying particular attention to the form of test regression that you use [login to view URL] dynamic forecasts of x,y,z and w using an estimated VECM model for all 4 series using in-sample forecasting for the period 1990Q1 to 1999Q4. Now comparethe 1-step ahead forecast performance of a univariate AR(2) model for Δx with forecasts of the same variable using an estimated VECM model for all 4 series using in-sample forecasting for the period 1990Q1 to 1999Q4. What are the gains (if any) to using the VECM compared to the simple time-series model for the series? Are these gains what you’d expect? need result in word format , due 17th night UK time