{"title":"Generalized Insurer Bargaining","authors":"Guy Arie, P. Grieco, Shiran Rachmilevitch","doi":"10.2139/ssrn.2677394","DOIUrl":null,"url":null,"abstract":"We incorporate repeated interaction and limits on the number of simultaneous negotiations by the same insurer into the standard multi-lateral insurer-hospital Nash-In-Nash (NiN) bargaining model. This approach is motivated by our finding that under common assumptions, the NiN model predicts a market breakdown with sufficiently high hospital bargaining power. In our proposed model all hospitals that increase surplus join the insurer network. Our generalized model can be estimated as in Gowrisankaran et al. (2015) with one additional parameter -- the players' discount factor. If players are completely impatient, the estimation outcome is the same in both models. We identify the differences in estimation results between the two models and show that mergers that would be approved using the NiN model may be rejected using the general model.","PeriodicalId":222025,"journal":{"name":"Simon Business School Working Papers","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simon Business School Working Papers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2677394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We incorporate repeated interaction and limits on the number of simultaneous negotiations by the same insurer into the standard multi-lateral insurer-hospital Nash-In-Nash (NiN) bargaining model. This approach is motivated by our finding that under common assumptions, the NiN model predicts a market breakdown with sufficiently high hospital bargaining power. In our proposed model all hospitals that increase surplus join the insurer network. Our generalized model can be estimated as in Gowrisankaran et al. (2015) with one additional parameter -- the players' discount factor. If players are completely impatient, the estimation outcome is the same in both models. We identify the differences in estimation results between the two models and show that mergers that would be approved using the NiN model may be rejected using the general model.
我们将重复互动和限制同一保险公司同时谈判的次数纳入标准的多边保险公司-医院纳什-纳什(NiN)议价模型。这种方法的动机是我们的发现,在一般假设下,NiN模型预测具有足够高的医院议价能力的市场崩溃。在我们提出的模型中,所有增加盈余的医院都加入保险公司网络。我们的广义模型可以像Gowrisankaran et al.(2015)那样用一个额外的参数——玩家的折扣系数来估计。如果玩家完全没有耐心,两种模型的估计结果是相同的。我们确定了两种模型之间估计结果的差异,并表明使用NiN模型将被批准的合并可能会使用一般模型被拒绝。