贝里、莱文森和帕克斯对实证产业组织理论的贡献——科睿唯安“引文桂冠”经济学奖得主学术贡献评介  

Contributions of Berry,Levinsohn and Pakes to Empirical Industrial Organization

作　　者：逯苗苗 孙涛[2] LU Miaomiao;SUN Tao(Shandong University of Finance and Economics,Jinan,China;Shandong University,Jinan,China)

机构地区：[1]山东财经大学金融学院 [2]山东大学经济研究院,250100

出　　处：《经济学动态》2021年第9期150-160,共11页Economic Perspectives

基　　金：广西中华民族共同体意识研究院重大项目(2020GXMGY0103)。

摘　　要：史蒂文·贝里、詹姆斯·莱文森和阿里尔·帕克斯是计量经济学与产业组织领域极具影响的经济学家,他们入选科睿唯安"引文桂冠"经济学奖的主要原因是建立了随机系数Logit模型。该模型可以有效计算不同产品之间的交叉价格弹性,使参数估计结果更加贴合实际,成为差异化产品需求估计的主要计量方法。他们在传统Logit模型中引入随机系数、允许价格内生,使用市场层面的数据对参数进行估计,克服了无关选项独立性假设的限制,拓展了离散选择模型在差异化产品市场的应用,使随机系数Logit模型成为实证产业组织理论中不可或缺的需求估计模型。Steven T.Berry,James A.Levinsohn and Ariel Pakes are the most influential economists in the field of econometrics and industrial organization.The main reason why they are selected as Citation Laureates is that they applied the random coefficient logit model,which can effectively calculate the cross price elasticity of different products and become the main method for demand estimation of differentiated products.By introducing random coefficient to traditional logit models and allowing for endogeneity in price,they relax the assumption of independence of irrelevant alternatives,and expand the application of discrete choice models in differentiated product markets,making random coefficient logit model indispensable in empirical industrial organization.

关 键 词：引文桂冠 实证产业组织 BLP模型 随机系数Logit模型 

分 类 号：F062.9[经济管理—政治经济学]