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Show all steps to calculate the value of 0_hat and 2_hat (the answer for 0_hat = -0.609) . Please
do not copy answer from ChatGPT. Consider a log-linear model logyi=0+1logx2i++klogxki+i,
where log is the natural logarithm. The Ordinary Least Square (OLS) estimate of the coefficient
0 is supposed to be 0.5 , the OLS estimate for 1 is -0.6 and the coefficient estimate for 2 is 1.6 . If
the variable x2 is transformed to 4x2, then the OLS for 0 is ^0= If the variable x2 is transformed
by 2x2, then the OLS for 2 for the transformed model is ^2=

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Show all steps to calculate the value of 0_hat and 2_hat (the answer.pdf

  • 1. Show all steps to calculate the value of 0_hat and 2_hat (the answer for 0_hat = -0.609) . Please do not copy answer from ChatGPT. Consider a log-linear model logyi=0+1logx2i++klogxki+i, where log is the natural logarithm. The Ordinary Least Square (OLS) estimate of the coefficient 0 is supposed to be 0.5 , the OLS estimate for 1 is -0.6 and the coefficient estimate for 2 is 1.6 . If the variable x2 is transformed to 4x2, then the OLS for 0 is ^0= If the variable x2 is transformed by 2x2, then the OLS for 2 for the transformed model is ^2=