What To Do (and Not to Do) with Time-Series Cross-Section Data

American Political Science Review - Tập 89 Số 3 - Trang 634-647 - 1995
Nathaniel Beck1, Jonathan N. Katz2
1University of California, San Diego
2California Institute of Technology

Tóm tắt

We examine some issues in the estimation of time-series cross-section models, calling into question the conclusions of many published studies, particularly in the field of comparative political economy. We show that the generalized least squares approach of Parks produces standard errors that lead to extreme overconfidence, often underestimating variability by 50% or more. We also provide an alternative estimator of the standard errors that is correct when the error structures show complications found in this type of model. Monte Carlo analysis shows that these “panel-corrected standard errors” perform well. The utility of our approach is demonstrated via a reanalysis of one “social democratic corporatist” model.

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Thông tin xuất bản

American Political Science Review

Tập 89 Số 3

634-647

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