{"title":"对“逆产品微分Logit模型”的补充","authors":"M. Fosgerau, Julien Monardo, A. de Palma","doi":"10.2139/ssrn.3419559","DOIUrl":null,"url":null,"abstract":"Full paper available at <a href=\"https://ssrn.com/abstract=3141041\">https://ssrn.com/abstract=3141041</a><br><br>We first present simulations investigating some properties of the Inverse Product Differentiation Logit (IPDL) model. Next, we provide a range of general methods for building Generalized Logit (GL) models along with illustrative examples that go beyond the IPDL model.","PeriodicalId":122400,"journal":{"name":"IRPN: Innovation & Econometrics (Topic)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Supplement to 'The Inverse Product Differentiation Logit Model'\",\"authors\":\"M. Fosgerau, Julien Monardo, A. de Palma\",\"doi\":\"10.2139/ssrn.3419559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Full paper available at <a href=\\\"https://ssrn.com/abstract=3141041\\\">https://ssrn.com/abstract=3141041</a><br><br>We first present simulations investigating some properties of the Inverse Product Differentiation Logit (IPDL) model. Next, we provide a range of general methods for building Generalized Logit (GL) models along with illustrative examples that go beyond the IPDL model.\",\"PeriodicalId\":122400,\"journal\":{\"name\":\"IRPN: Innovation & Econometrics (Topic)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IRPN: Innovation & Econometrics (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3419559\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IRPN: Innovation & Econometrics (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3419559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We first present simulations investigating some properties of the Inverse Product Differentiation Logit (IPDL) model. Next, we provide a range of general methods for building Generalized Logit (GL) models along with illustrative examples that go beyond the IPDL model.
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