If B, is an unbiased estimator of B; is also ajconsistent estimator of B, then when the samplesize tends to infinity:Select one:O a. the distribution of B, collapses to a singlevalue of zero.O b. the distribution of ß, diverges away from asingle value of zero.O c. the distribution of B, ccollapses to thesingle point ß;O d. the distribution of B, diverges away from B; If B, is an OLS estimator of a regression coefficient'jassociated with one of the explanatory variables,such that j=1,2,..,n, asymptotic standard error ofB, ill refer to the:Select one:O a. estimated variance of B, when the errorterm is normally distributedO b. estimated variance of a given coefficientwhen the error term is not normallydistributedO C. square root of the estimated variance of B.jwhen the error term is normally distributed.d.O d. square root of the estimated variance of B;when the error term is not normallydistributed

Name: If B, is an unbiased estimator of B; is also ajconsistent estimator o
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Description: If B, is an unbiased estimator of B; is also ajconsistent estimator of B, then when the samplesize tends to infinity:Select one:O a. the distribution of B, collapses to a singlevalue of zero.O b. the distribution of ß, diverges away from asingle val

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If B; is an unbiased estimator of B; is also a consistent estimator of B, then when the sample size tends to infinity: Select one: O a. the distribution of B, collapses to a single value of zero. O b. the distribution of B, diverges away from a single value of zero. O C. the distribution of B, ccollapses to the single point B; O d. the distribution of B, diverges away from B;