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Frank Batchelder and Miriam Yenkin are analysts for Bishop Econometrics. Batchelder and Yenkin are discussing the models they use to forecast changes in China’s GDP and how they can compare the forecasting accuracy of each model. Batchelder states, “The root mean squared error (RMSE) criterion is typically used to evaluate the in-sample forecast accuracy of autoregressive models.” Yenkin replies, “If we use the RMSE criterion, the model with the largest RMSE is the one we should judge as the most accurate.”
With regard to their statements about using the RMSE criterion: A. Batchelder is correct; Yenkin is incorrect. B. Batchelder is incorrect; Yenkin is incorrect. C. Batchelder is incorrect; Yenkin is correct. |