T515 estimator is more appropriate than the OLE- estimator A} when the independent variables are endogenous. B} when we fail to reject the Hausman test. C] when our instrumental variables are exogenous and relevant. D} when we have heteroslredasticity. Consider the following time series data for the population of Canada [in millions} from year 2015 to year 2019. Year 2015 2016 201'? El 21319 t 1 '2 3- 4 5 pop; 36 .02? 35.333 3633? 3?.D'r5 37.411 ln year Willa1 the first lagged value of lll:".a.n.adian population is A) asses 13} 36.732 (3] 37.1175 D) 37.411 In year 2013. the rst difference of l[lanadian population is A} 0.349 E} 4.1.349 C] 0.343 D} 43343 The difference between the OLE residuals and the forecast errors is that A} forecast errors are not obtained based on 01.5 estimation. B} the DIS residuals are in-sarnple estimation errors, yet the forecast errors are out-of-sample errors. C] the GL3 residuals are always smaller than forecast errors. D} there is no difference between the GL3 residuals and the forecast errors. Time series variables fail to be stationary when A} the economy experienms uetuations. 13} the population distribution has breaks. (3] there is seasonal variation in the data. D} there are no trends