(Answered) Why should you use heteroskedasticity- and autocorrelation-

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Why should you use heteroskedasticity- and autocorrelation- consistent standard errors in your regression package when estimating the distributed lag regression model. What are the properties of the OLS esimator in the presence of heteroskedasticity and autocorrelation in the error terms? Explain why it is likely to find autocorrelation in time series data.

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