CRDWCointegrating Regression Durbin-Watson (econometrics)
CRDWCash Registers Distributors Warehouse (New York)
References in periodicals archive ?
t] is estimated for each country and the CRDW is assigned to the end date of the estimation interval.
To sum up, our conclusion is based on both the AEG and CRDW tests giving the variables that DRPPI, gold price index, total direct foreign trade and number of completed residential units are cointegrated.
The ADF and CRDW statistics reject the null hypothesis of no cointegration between migrants as a proportion of total population; wage, unemployment and living standard differentials and cost of move.
In this section, we have used the Engle-Granger test and CRDW test [see Sargan and Bhargava (1983)] to investigate whether the variables under question are cointegrated or not.
The 5% critical values for the CRDW, CR(A)DF and [Mathematical Expression Omitted] tests are, respectively: 1.
Three tests of cointegration--the CRDW, DF, and ADF statistics--based on residuals are reported in Table 3.
Engle--Granger Co-integration Test Period Co-integration Equations Dickey Fuller Test CRDW LDS = 1.
Two test statistics are used in conjunction with each cointegration test: while ADF and CRDW statistics are used with the Engle-Granger test, [[?
The book presents ADF, DF, and CRDW statistics to test for non-stationarity and order of cointegration.
A cursory look at the table is sufficient to see that the DF, ADF and CRDW (10) statistics reject the null hypothesis of no cointegration at the 5 percent level of significance for all the three equations.
For the residuals to be stationary, the CRDW must be significantly different from zero.
Alternative to DF/ADF tests, the CRDW statistic could also be used to determine the stationarity of residuals.