The Class of Linear Conditionally Unbiased Estimators Consists of A All

question 15

Short Answer

The class of linear conditionally unbiased estimators consists of a. all estimators of $\beta _ { 1 }$ that are linear functions of $Y _ { 1 } , \ldots , Y _ { n }$ and that are unbiased, conditional on $X _ { 1 } , \ldots , X _ { n }$ .
b. OLS, WLS, and TSLS.
c. those estimators that are asymptotically normally distributed.
d. all estimators of $\beta _ { 1 }$ that are linear functions of $X _ { 1 } , \ldots , X _ { n }$ and that are unbiased, conditional on $X _ { 1 } , \ldots , X _ { n }$ .

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Definitions:

Single Situations

Instances or occurrences that are unique or isolated in context.

Survey Studies

Research methods that involve collecting data from a sample of individuals through their responses to questions.

Field Studies

Research activities conducted in real-world settings outside of a laboratory or office, aiming to collect data in its natural environment.

Contingency Approach

The contingency approach posits that management effectiveness depends on the fit between situational variables and managerial actions or strategies.