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Consider the One-Variable Regression Model, Yi = β0 + β1Xi Y~i\tilde { Y } _ { i }

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Consider the one-variable regression model, Yi = β0 + β1Xi + ui, where the usual assumptions from Chapter 4 are satisfied. However, suppose that both Y and X are measured with error, Y~i\tilde { Y } _ { i } = Yi + zi and X~i\widetilde { X } _ { i } = Xi + wi. Let both measurement errors be i.i.d. and independent of both Y and X respectively. If you estimated the regression model Y~i\tilde { Y } _ { i } = β0 + β1
X~i\widetilde { X } _ { i } + vi using OLS, then show that the slope estimator is not consistent.

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