The influence of climate change on the sesame yield in North Gondar, North Ethiopia: Application Autoregressive Distributed Lag (ARDL) time series model.

As a result, the chi-square test ensures that the ARDL model test at lag one is determined to be optimal for the data set and may thus be performed, as ARDL models normally require the same lag length for all series. ARDL model parameter estimation Table 8 shows that the limit and Wald tests of the F-Statistic value and Chi-square values are highly significant at a 5% level of rejection, implying a long-term link between the Sesame variable and the regressors.

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