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help to solve the third blank! thank you Yt=0+1Yt1+2Yt2+3Yt3+4Yt4+ut, where Yt is the unemployment rate in the current time period and Yti(i=1,,4) is the unemployment
help to solve the third blank! thank you
Yt=0+1Yt1+2Yt2+3Yt3+4Yt4+ut, where Yt is the unemployment rate in the current time period and Yti(i=1,,4) is the unemployment rate in time period ti. Suppose that the sum of the squared residuals (SSR) of the autoregression is 250.16. The mean squared forecast error (MSFE) estimated using the standard error of the regression is 5.56. (Round your answer to two decimal places.) The MSFE estimated using the final prediction error is (Round your answer to two decimal places.) P=30%T. Suppose that the sum of squared pseudo-out-of-sample forecast errors calculated by the researcher, s, is 102 . The pseudo out-of-sample estimated MSFE is . (Round your answer to two decimal places.) Yt=0+1Yt1+2Yt2+3Yt3+4Yt4+ut, where Yt is the unemployment rate in the current time period and Yti(i=1,,4) is the unemployment rate in time period ti. Suppose that the sum of the squared residuals (SSR) of the autoregression is 250.16. The mean squared forecast error (MSFE) estimated using the standard error of the regression is 5.56. (Round your answer to two decimal places.) The MSFE estimated using the final prediction error is (Round your answer to two decimal places.) P=30%T. Suppose that the sum of squared pseudo-out-of-sample forecast errors calculated by the researcher, s, is 102 . The pseudo out-of-sample estimated MSFE is . (Round your answer to two decimal places.)Step by Step Solution
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