{"title":"关于“带终止作用的有限视界动态离散选择模型的辨识与半参数估计”的评注","authors":"Øystein Daljord, Denis Nekipelov, Minjung Park","doi":"10.1007/s11129-019-09210-w","DOIUrl":null,"url":null,"abstract":"Bajari et al. (<i>Quantitative Marketing and Economics</i>, <i>14</i>(4), 271–323, 2016) showed conditions under which the discount factor is identified in a finite horizon optimal stopping problem. We show that these conditions can be cast as a special case of a class of exclusion restrictions which are relevant for a broader scope of applications, and extend the identification result to both finite horizon and infinite horizon optimal stopping problems under more general exclusion restrictions. We also show how a similar approach gives identification of general discount functions in finite horizon optimal stopping problems. The identification results directly suggest estimators of the discount functions that are easy to compute.","PeriodicalId":501397,"journal":{"name":"Quantitative Marketing and Economics","volume":"19 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Comments on “identification and semiparametric estimation of a finite horizon dynamic discrete choice model with a terminating action”\",\"authors\":\"Øystein Daljord, Denis Nekipelov, Minjung Park\",\"doi\":\"10.1007/s11129-019-09210-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bajari et al. (<i>Quantitative Marketing and Economics</i>, <i>14</i>(4), 271–323, 2016) showed conditions under which the discount factor is identified in a finite horizon optimal stopping problem. We show that these conditions can be cast as a special case of a class of exclusion restrictions which are relevant for a broader scope of applications, and extend the identification result to both finite horizon and infinite horizon optimal stopping problems under more general exclusion restrictions. We also show how a similar approach gives identification of general discount functions in finite horizon optimal stopping problems. The identification results directly suggest estimators of the discount functions that are easy to compute.\",\"PeriodicalId\":501397,\"journal\":{\"name\":\"Quantitative Marketing and Economics\",\"volume\":\"19 8\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quantitative Marketing and Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11129-019-09210-w\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Marketing and Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11129-019-09210-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comments on “identification and semiparametric estimation of a finite horizon dynamic discrete choice model with a terminating action”
Bajari et al. (Quantitative Marketing and Economics, 14(4), 271–323, 2016) showed conditions under which the discount factor is identified in a finite horizon optimal stopping problem. We show that these conditions can be cast as a special case of a class of exclusion restrictions which are relevant for a broader scope of applications, and extend the identification result to both finite horizon and infinite horizon optimal stopping problems under more general exclusion restrictions. We also show how a similar approach gives identification of general discount functions in finite horizon optimal stopping problems. The identification results directly suggest estimators of the discount functions that are easy to compute.