9/22/2023 0 Comments How to view dw in oxmetrics![]() ![]() ![]() H0: Series values are not correlated with each other H1: Series values are correlated with each other Hypothesis for the Durbin-Watson test are: That there is no unit-root in the sample and the variable is stationary. Since the test results is lower than the critical value, one must reject the null hypothesis and conclude ![]() H0: There is a unit-root in the sample H1: There is not a unit-root in the sample Which is smaller than the 1 % critical value. Augmented Dickey-Fuller test for Calendar ManufacturingUpdate regression ofĬoefficient Std.Error t-value Calendar ManufacturingUpdate_1 -1,3579 0,1736 -7,8236ĭCalendar ManufacturingUpdate_1 0,4185 0,1304 3,2083 DCalendar ManufacturingUpdate_2 0,1559 0,0992 1,5721Ĭritical values used in ADF test: -3,453 -4,048 ADF-Calendar ManufacturingUpdate -7,824 **įrom table 1 one can see that variable manufacturing is stationary, the ADF-test result is -7.824, Testing for stationarity with Dickey-Fuller From previous paragraphs, one knows that theseĪre tested with Dickey-Fuller and Durbin-Watson tests. Whether there is autocorrelation with-in the variable. To use variables in a regression model, one must first test whether the variables are stationary and Interpreting the Durbin-Watson test static (compiled by the author).įor example, when one has ~ sample size of 80 and 4 variables, the upper bound for Durbin-Watson Where □ □ denotes the lower bound and □ □ the upper bound of the area of uncertainty.įigure 4. ![]()
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