Nils Verheuvel, Joost Witteman, Marilou Vlaanderen
{"title":"荷兰政策评价的综合控制方法。","authors":"Nils Verheuvel, Joost Witteman, Marilou Vlaanderen","doi":"10.1007/s10645-022-09417-5","DOIUrl":null,"url":null,"abstract":"<p><p>We apply the synthetic control method to a case study of the Dutch State Treasury Agency's funding policy. We study empirically what effect a change in funding strategy by the Dutch treasury had on market conditions. First, our results suggest that introducing more uncertainty to the funding policy, by means of a target range for capital market issuances, does not lead to a higher risk premium on Dutch government debt. Second, our paper shows that the synthetic control method, or the related constrained regression, is more suitable than a difference-in-differences method for this particular case study. The synthetic control method and constrained regression only include control units that are similar to the Netherlands. The difference-in-differences estimator includes all control countries, even ones that are not similar to the Netherlands. The difference-in-differences estimates incorrectly suggest that introducing more uncertainty in the funding policy leads to a higher risk premium. This shows that synthetic control and constrained regression are in some cases more suitable than a standard difference-in-differences. Furthermore, the synthetic control and constrained regression results hold when time and unit placebo tests are applied, whereas difference-in-differences results are not robust for this case study.</p>","PeriodicalId":72772,"journal":{"name":"","volume":"171 1","pages":"51-83"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806815/pdf/","citationCount":"0","resultStr":"{\"title\":\"Synthetic Control Method for Dutch Policy Evaluation.\",\"authors\":\"Nils Verheuvel, Joost Witteman, Marilou Vlaanderen\",\"doi\":\"10.1007/s10645-022-09417-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We apply the synthetic control method to a case study of the Dutch State Treasury Agency's funding policy. We study empirically what effect a change in funding strategy by the Dutch treasury had on market conditions. First, our results suggest that introducing more uncertainty to the funding policy, by means of a target range for capital market issuances, does not lead to a higher risk premium on Dutch government debt. Second, our paper shows that the synthetic control method, or the related constrained regression, is more suitable than a difference-in-differences method for this particular case study. The synthetic control method and constrained regression only include control units that are similar to the Netherlands. The difference-in-differences estimator includes all control countries, even ones that are not similar to the Netherlands. The difference-in-differences estimates incorrectly suggest that introducing more uncertainty in the funding policy leads to a higher risk premium. This shows that synthetic control and constrained regression are in some cases more suitable than a standard difference-in-differences. Furthermore, the synthetic control and constrained regression results hold when time and unit placebo tests are applied, whereas difference-in-differences results are not robust for this case study.</p>\",\"PeriodicalId\":72772,\"journal\":{\"name\":\"\",\"volume\":\"171 1\",\"pages\":\"51-83\"},\"PeriodicalIF\":0.0,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806815/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1007/s10645-022-09417-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s10645-022-09417-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synthetic Control Method for Dutch Policy Evaluation.
We apply the synthetic control method to a case study of the Dutch State Treasury Agency's funding policy. We study empirically what effect a change in funding strategy by the Dutch treasury had on market conditions. First, our results suggest that introducing more uncertainty to the funding policy, by means of a target range for capital market issuances, does not lead to a higher risk premium on Dutch government debt. Second, our paper shows that the synthetic control method, or the related constrained regression, is more suitable than a difference-in-differences method for this particular case study. The synthetic control method and constrained regression only include control units that are similar to the Netherlands. The difference-in-differences estimator includes all control countries, even ones that are not similar to the Netherlands. The difference-in-differences estimates incorrectly suggest that introducing more uncertainty in the funding policy leads to a higher risk premium. This shows that synthetic control and constrained regression are in some cases more suitable than a standard difference-in-differences. Furthermore, the synthetic control and constrained regression results hold when time and unit placebo tests are applied, whereas difference-in-differences results are not robust for this case study.