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Published byQuinn Hanlin Modified over 2 years ago

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Panel Data Analysis in EViews Crime and deterrence, US NC counties Example 13.9 and problem 14.7 (using crime4.wf1) structure the databes (identify i and t) (but do not let EViews balance anything unless you explicitly want that)

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Pooled OLS, clustered errors log(crime it ) = β x it + u it Cov(x it, u it ) = 0

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County fixed-effects, iid errors log(crime it ) = β x it + a i + v it Cov(x it, a i ) 0 Cov(x it, v is ) = 0

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County random effects, iid errors log(crime it ) = β x it + a i + v it Cov(x it, a i ) = 0 Cov(x it, v is ) = 0

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County & year FE, iid errors log(crime it ) = β x it + a i + d t + w it Cov(x it, a i ) 0 Cov(x it, d t ) 0 Cov(x it, w is ) = 0

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County & year FE, cluster errors log(crime it ) = β x it + a i + d t + w it Cov(x it, a i ) 0 Cov(x it, d t ) 0 Cov(x it, w is ) = 0

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County FD & year FE, cluster errors Δlog(crime it ) = β Δx it + Δd t + Δw it Cov(x it, d t ) 0 Cov(x it, w is ) = 0

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Summary of results

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