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Part b & e
. Answer four of the following. In each case limit your answer...
can you help with these questions and briefly explain how you got to the answer. it...
can you help with these questions and briefly explain
how you got to the answer. it would be a big help thank for your
time.
Question 1 Suppose that the conditional variance is var(WXi) = (x), where i is a constant and h is a known function. The WLS estimator: O A. is the estimator obtained by first dividing the dependent variable and regressor by h and then regressing this modified dependent variable on the modified regressor using OLS. O...
Question 2 (10 points) You are given the following model y-put ei. Consider two alternative estimators of β, b2xvix? and b = Zy/X 1. Which estimator would you choose and why if the model satisfies al...
Question 2 (10 points) You are given the following model y-put ei. Consider two alternative estimators of β, b2xvix? and b = Zy/X 1. Which estimator would you choose and why if the model satisfies all the assumptions of classical regression? Prove your results. (4 points) 2. Now suppose that var(y)-hxi, where h is a positive constant (a) Obtain the correct variance of the OLS estimator. (2 points) (b) Show that the BLU estimator is now 6. Derive its variance....
Which of the following statements is true? (a) If the calculated value of F statistic is...
Which of the following statements is true? (a) If the calculated value of F statistic is higher than the critical value, we reject the alternative hypothesis in favor of the null hypothesis. (b) The F statistic is always nonnegative as SSR, is never smaller than SSRur. (C) Degrees of freedom of a restricted model is always less than the de- grees of freedom of an unre- stricted model. (d) The F statistic is more flexible than the t statistic to...
Please provide your answer with a detailed description on how you came to that answer please!...
Please provide your answer with a detailed description on how you
came to that answer please!
ECN 702 Econometrics II HW2 Due: Jan 29 1. Suppose the true conditional mean function is but by mistake, a researcher ran least square regression without the x term as in Assume cov (X,, U,)s 0, E [Xn]-O and E [x?J-1. Is hisher estimate consistent for Anf not, show which OLS assumption fails and discuss potential solutions. 2. Assume the structural equation is where...
Hey could someone please answer this in regards to part F ? That is the part...
Hey could someone please answer this in regards to part
F ? That is the part of the question I am struggling
with
1. Consider the regression model Y = BX1i + 2X2 +U, for i = 1,...,n (notice that there is no intercept in the regression). (a) Specify the least squares function that is minimized by OLS. (b) Compute the derivatives of the objective function with respect to B, and B. (C) Suppose that D-1 X1 X2 = 0....
For observations {Y, X;}=1, recall that for the model Y = 0 + Box: +e the...
For observations {Y, X;}=1, recall that for the model Y = 0 + Box: +e the OLS estimator for {00, Bo}, the minimizer of E. (Y: - a - 3x), is . (X.-X) (Y-Y) and a-Y-3X. - (Xi - x) When the equation (1) is the true data generating process, {X}- are non-stochastic, and {e} are random variables with B (ei) = 0, B(?) = 0, and Ele;e;) = 0 for any i, j = 1,2,...,n and i j, we...
4 Supone f Xnd have ioint pr enit n 0<y 1,0 fx.Y (z, y) = { 2(z + y), z y 0, otherwise y(lr),writing your limit for r between constants, and your limits for y as a function of b) Suppose that you...
4 Supone f Xnd have ioint pr enit n 0<y 1,0 fx.Y (z, y) = { 2(z + y), z y 0, otherwise y(lr),writing your limit for r between constants, and your limits for y as a function of b) Suppose that you have measured Xx 0.5. Find the maximum a posteriori (MAP)estimate of y given Y0.5. (c) Suppose that you have measured X = 0.5. Find the minimum mean squared estimator (MMSE) estimate of Y given X = 0.5....
1. Suppose the true conditional mean function is but by mistake, a researcher ran least square...
1. Suppose the true conditional mean function is but by mistake, a researcher ran least square regression without the X term as in Assume cou (Xi , U) 0, E [Xn] O and E [x?-I . Is his/her estimate consistent for β,? If not, show which OLS assumption fails and discuss potential solutions. 2. Assume the structural equation is where E [u:|X0. It was discovered that we observe Xi with a measurement error wi instead of the real value X,...
please show all work clearly ECN 702 Econometrics II HW2 Due: Jan 29 1. Suppose the...
please show all work clearly
ECN 702 Econometrics II HW2 Due: Jan 29 1. Suppose the true conditional mean function is but by mistake, a researcher ran least square regression without the term as in Assume cov (Xi, U.) = 0, E (Xn] = 0 and 티x?]-1. Is hisher estimate consistent for β? If not, show which OLS assumption fails and discuss potential solutions. 2. Assume the structural equation is where E [ui|X] of the real value X 0. It...
I. Suppose the true conditional mean function is but by mistake, a researcher ran least square...
I. Suppose the true conditional mean function is but by mistake, a researcher ran least square regression without the X term as in Assume cou (Xi , U) = 0, E [Xa] = 0 and E [x7-1. Is his/her estimate consistent for β? If not, show which OLS assumption fails and discuss potential solutions. 2. Assume the structural equation is where E (uiX]-0. It was discovered that we observe X, with a measurement error w instead of the real value...
can you help with these questions and briefly explain
how you got to the answer. it would be a big help thank for your
time.
Question 1 Suppose that the conditional variance is var(WXi) = (x), where i is a constant and h is a known function. The WLS estimator: O A. is the estimator obtained by first dividing the dependent variable and regressor by h and then regressing this modified dependent variable on the modified regressor using OLS. O...
Question 2 (10 points) You are given the following model y-put ei. Consider two alternative estimators of β, b2xvix? and b = Zy/X 1. Which estimator would you choose and why if the model satisfies all the assumptions of classical regression? Prove your results. (4 points) 2. Now suppose that var(y)-hxi, where h is a positive constant (a) Obtain the correct variance of the OLS estimator. (2 points) (b) Show that the BLU estimator is now 6. Derive its variance....
Which of the following statements is true? (a) If the calculated value of F statistic is higher than the critical value, we reject the alternative hypothesis in favor of the null hypothesis. (b) The F statistic is always nonnegative as SSR, is never smaller than SSRur. (C) Degrees of freedom of a restricted model is always less than the de- grees of freedom of an unre- stricted model. (d) The F statistic is more flexible than the t statistic to...
Please provide your answer with a detailed description on how you
came to that answer please!
ECN 702 Econometrics II HW2 Due: Jan 29 1. Suppose the true conditional mean function is but by mistake, a researcher ran least square regression without the x term as in Assume cov (X,, U,)s 0, E [Xn]-O and E [x?J-1. Is hisher estimate consistent for Anf not, show which OLS assumption fails and discuss potential solutions. 2. Assume the structural equation is where...
Hey could someone please answer this in regards to part
F ? That is the part of the question I am struggling
with
1. Consider the regression model Y = BX1i + 2X2 +U, for i = 1,...,n (notice that there is no intercept in the regression). (a) Specify the least squares function that is minimized by OLS. (b) Compute the derivatives of the objective function with respect to B, and B. (C) Suppose that D-1 X1 X2 = 0....
For observations {Y, X;}=1, recall that for the model Y = 0 + Box: +e the OLS estimator for {00, Bo}, the minimizer of E. (Y: - a - 3x), is . (X.-X) (Y-Y) and a-Y-3X. - (Xi - x) When the equation (1) is the true data generating process, {X}- are non-stochastic, and {e} are random variables with B (ei) = 0, B(?) = 0, and Ele;e;) = 0 for any i, j = 1,2,...,n and i j, we...
4 Supone f Xnd have ioint pr enit n 0<y 1,0 fx.Y (z, y) = { 2(z + y), z y 0, otherwise y(lr),writing your limit for r between constants, and your limits for y as a function of b) Suppose that you have measured Xx 0.5. Find the maximum a posteriori (MAP)estimate of y given Y0.5. (c) Suppose that you have measured X = 0.5. Find the minimum mean squared estimator (MMSE) estimate of Y given X = 0.5....
1. Suppose the true conditional mean function is but by mistake, a researcher ran least square regression without the X term as in Assume cou (Xi , U) 0, E [Xn] O and E [x?-I . Is his/her estimate consistent for β,? If not, show which OLS assumption fails and discuss potential solutions. 2. Assume the structural equation is where E [u:|X0. It was discovered that we observe Xi with a measurement error wi instead of the real value X,...
please show all work clearly
ECN 702 Econometrics II HW2 Due: Jan 29 1. Suppose the true conditional mean function is but by mistake, a researcher ran least square regression without the term as in Assume cov (Xi, U.) = 0, E (Xn] = 0 and 티x?]-1. Is hisher estimate consistent for β? If not, show which OLS assumption fails and discuss potential solutions. 2. Assume the structural equation is where E [ui|X] of the real value X 0. It...
I. Suppose the true conditional mean function is but by mistake, a researcher ran least square regression without the X term as in Assume cou (Xi , U) = 0, E [Xa] = 0 and E [x7-1. Is his/her estimate consistent for β? If not, show which OLS assumption fails and discuss potential solutions. 2. Assume the structural equation is where E (uiX]-0. It was discovered that we observe X, with a measurement error w instead of the real value...
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