总结评论

IF 4.7 2区 社会学 Q1 POLITICAL SCIENCE
L. Keele, Suzanna Linn, Clayton Webb
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引用次数: 4

摘要

这个问题始于Grant和Lebo(2016)以及我们自己(Keele、Linn和Webb,2016)之间关于一般误差校正模型(GECM)在政治学中的效用的交流。这场交流演变成了一场关于Grant和Lebo提出的GECM替代方案以及分数积分方法(FIM)效用的辩论。Esarey(2016)和Helgason(2016)参与了这部分辩论。弗里曼(2016)也提出了他对此次交流的看法。最后,这个问题给读者留下了很多需要考虑的地方。Freeman(2016)在其评论中认为,由于出资人未能考虑与GECM或FIM没有直接关系的广泛主题,交易所几乎没有取得重大进展。我们没有那么悲观。在接下来的内容中,我们提炼出我们认为交易所最重要的元素——平衡的重要性、FIM的成本和收益,以及预测试的变幻莫测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concluding Comments
This issue began as an exchange between Grant and Lebo (2016) and ourselves (Keele, Linn, and Webb 2016) about the utility of the general error correction model (GECM) in political science. The exchange evolved into a debate about Grant and Lebo's proposed alternative to the GECM and the utility of fractional integration methods (FIM). Esarey (2016) and Helgason (2016) weigh in on this part of the debate. Freeman (2016) offers his views on the exchange as well. In the end, the issue leaves readers with a lot to consider. In his comment, Freeman (2016) argues that the exchange has produced little significant progress because of the contributors' failures to consider a wide array of topics not directly related to the GECM or FIM. We are less pessimistic. In what follows, we distill what we believe are the most important elements of the exchange–the importance of balance, the costs and benefits of FIM, and the vagaries of pre-testing.
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来源期刊
Political Analysis
Political Analysis POLITICAL SCIENCE-
CiteScore
8.80
自引率
3.70%
发文量
30
期刊介绍: Political Analysis chronicles these exciting developments by publishing the most sophisticated scholarship in the field. It is the place to learn new methods, to find some of the best empirical scholarship, and to publish your best research.
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