Stefan Klößner, Ashok Kaul, Gregor Pfeifer, Manuel Schieler
{"title":"重新审视比较政治学和综合控制方法:关于Abadie et al.(2015)的注解。","authors":"Stefan Klößner, Ashok Kaul, Gregor Pfeifer, Manuel Schieler","doi":"10.1186/s41937-017-0004-9","DOIUrl":null,"url":null,"abstract":"<p><p>Recently, Abadie et al. (Am J Polit Sci 59:495-510, 2015) have expanded synthetic control methods by the so-called cross-validation technique. We find that their results are not being reproduced when alternative software packages are used or when the variables' ordering within the dataset is changed. We show that this failure stems from the cross-validation technique relying on non-uniquely defined predictor weights. While the amount of the resulting ambiguity is negligible for the main application of Abadie et al. (Am J Polit Sci 59:495-510, 2015), we find it to be substantial for several of their robustness analyses. Applying well-defined, standard synthetic control methods reveals that the authors' results are particularly driven by a specific control country, the USA.</p>","PeriodicalId":36872,"journal":{"name":"Swiss Journal of Economics and Statistics","volume":"154 1","pages":"11"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s41937-017-0004-9","citationCount":"54","resultStr":"{\"title\":\"Comparative politics and the synthetic control method revisited: a note on Abadie et al. (2015).\",\"authors\":\"Stefan Klößner, Ashok Kaul, Gregor Pfeifer, Manuel Schieler\",\"doi\":\"10.1186/s41937-017-0004-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Recently, Abadie et al. (Am J Polit Sci 59:495-510, 2015) have expanded synthetic control methods by the so-called cross-validation technique. We find that their results are not being reproduced when alternative software packages are used or when the variables' ordering within the dataset is changed. We show that this failure stems from the cross-validation technique relying on non-uniquely defined predictor weights. While the amount of the resulting ambiguity is negligible for the main application of Abadie et al. (Am J Polit Sci 59:495-510, 2015), we find it to be substantial for several of their robustness analyses. Applying well-defined, standard synthetic control methods reveals that the authors' results are particularly driven by a specific control country, the USA.</p>\",\"PeriodicalId\":36872,\"journal\":{\"name\":\"Swiss Journal of Economics and Statistics\",\"volume\":\"154 1\",\"pages\":\"11\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/s41937-017-0004-9\",\"citationCount\":\"54\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Swiss Journal of Economics and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s41937-017-0004-9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2018/5/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Swiss Journal of Economics and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41937-017-0004-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/5/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
Comparative politics and the synthetic control method revisited: a note on Abadie et al. (2015).
Recently, Abadie et al. (Am J Polit Sci 59:495-510, 2015) have expanded synthetic control methods by the so-called cross-validation technique. We find that their results are not being reproduced when alternative software packages are used or when the variables' ordering within the dataset is changed. We show that this failure stems from the cross-validation technique relying on non-uniquely defined predictor weights. While the amount of the resulting ambiguity is negligible for the main application of Abadie et al. (Am J Polit Sci 59:495-510, 2015), we find it to be substantial for several of their robustness analyses. Applying well-defined, standard synthetic control methods reveals that the authors' results are particularly driven by a specific control country, the USA.