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Consider the following population regression model relating the dependent variable Yi and regressor Xi,
Yi = β0 + β1Xi + ui,i = 1,…,n.
Xi ≡ Yi + Zi
where Z is a valid instrument for X.
(a)Explain why you should not use OLS to estimate β1.
(b)To generate a consistent estimator for β1,what should you do?
(c)The two equations above make up a system of equations in two unknowns.Specify the two reduced form equations in terms of the original coefficients.(Hint: substitute the identity into the first equation and solve for Y.Similarly,substitute Y into the identity and solve for X. )
(d)Do the two reduced form equations satisfy the OLS assumptions? If so,can you find consistent estimators of the two slopes? What is the ratio of the two estimated slopes? This estimator is called "Indirect Least Squares." How does it compare to the TSLS in this example?
Total Utility
The total satisfaction or benefit derived from consuming a particular quantity of goods or services.
Law of Diminishing Marginal Utility
An economic principle that states the additional satisfaction a consumer gets from purchasing one more unit of a product will lessen with each additional unit purchased.
Marginal Utility
The additional satisfaction or utility that a consumer derives from consuming one more unit of a good or service.
Total Utility
The total satisfaction or benefit a consumer receives from consuming a specific quantity of goods or services.
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