Your Textbook Modifies the Four Assumptions for the Multiple Regression

question 45

Essay

Your textbook modifies the four assumptions for the multiple regression model by adding a new assumption. This represents an extension of the cross-sectional data case, where errors are uncorrelated across entities. The new assumption requires the errors to be uncorrelated across time, conditional on the regressors as well (cov(u_it, u_is | X_it, X_is)= 0 for t ≠ s.).
(a)Discuss why there might be correlation over time in the errors when you use U.S. state panel data. Does this mean that you should not use OLS as an estimator?
(b)Now consider pairs of adjacent states such as Indiana and Michigan, Texas and Arkansas, New York and Connecticut, etc. Is it likely that the fifth assumption will hold here, even though the "contemporaneous" errors are correlated? If not, can you still use OLS for estimation?

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Definitions:

Little Agreement

A situation where there is minimal consensus or common ground among parties or individuals involved.

Retributive

Pertaining to or advocating for retribution; the philosophy that punishment for wrongdoing should be proportional and serve as a morally justified response to the offense.

Social Change

Transformations in the structure and functioning of a society over time, often related to cultural, economic, or political developments.

Consensus

A general agreement or harmony of opinions among members of a group, achieved through collective decision-making processes.