{"title":"GUEST EDITORS’ INTRODUCTION PART TWO: SPECIAL DUAL ISSUE OF ECONOMETRIC THEORY ON YALE 2018 CONFERENCE IN HONOR OF PETER C.B. PHILLIPS","authors":"D. Andrews, Y. Kitamura, G. Kuersteiner","doi":"10.1017/S0266466622000524","DOIUrl":null,"url":null,"abstract":"This is the second part of a dual-issue special edition of Econometric Theory in honor of Peter C.B. Phillips. The papers published in these two issues grew out of presentations given at the Cowles Foundation Conference on Econometrics: A Celebration of Peter Phillips’s 40 Years at Yale. Peter C.B. Phillips, the founding editor of this journal, joined Yale University in 1979 where he served as full professor and one of the leading intellects of the Department of Economics for more than 40 years. At the time of his joining the Cowles Foundation and Yale economics faculty, Phillips already had been chair of the Department of Econometrics and Social Statistics at the University of Birmingham and held prior faculty positions at the University of Essex and the University of Auckland. He earned a master’s degree in economics from the University of Auckland under the supervision of A.R. Bergstrom, one of the leading authorities on continuous-time modeling and inference at the time; and his master’s thesis was published in Econometrica in 1972. Phillips studied at the London School of Economics where he obtained his Ph.D. with a dissertation on","PeriodicalId":49275,"journal":{"name":"Econometric Theory","volume":"38 1","pages":"1069 - 1072"},"PeriodicalIF":1.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Theory","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1017/S0266466622000524","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This is the second part of a dual-issue special edition of Econometric Theory in honor of Peter C.B. Phillips. The papers published in these two issues grew out of presentations given at the Cowles Foundation Conference on Econometrics: A Celebration of Peter Phillips’s 40 Years at Yale. Peter C.B. Phillips, the founding editor of this journal, joined Yale University in 1979 where he served as full professor and one of the leading intellects of the Department of Economics for more than 40 years. At the time of his joining the Cowles Foundation and Yale economics faculty, Phillips already had been chair of the Department of Econometrics and Social Statistics at the University of Birmingham and held prior faculty positions at the University of Essex and the University of Auckland. He earned a master’s degree in economics from the University of Auckland under the supervision of A.R. Bergstrom, one of the leading authorities on continuous-time modeling and inference at the time; and his master’s thesis was published in Econometrica in 1972. Phillips studied at the London School of Economics where he obtained his Ph.D. with a dissertation on
这是《计量经济学理论》两期特别版的第二部分,以纪念彼得·c·b·菲利普斯。在这两期杂志上发表的论文都是在考尔斯基金会计量经济学会议上发表的:庆祝彼得·菲利普斯在耶鲁大学40周年。彼得·c·b·菲利普斯,本刊创刊编辑,1979年加入耶鲁大学,担任经济系正教授和领军人物40多年。在他加入考尔斯基金会和耶鲁大学经济学教授时,菲利普斯已经是伯明翰大学计量经济学和社会统计系主任,并在埃塞克斯大学和奥克兰大学担任教职。他在奥克兰大学(University of Auckland)获得经济学硕士学位,师从当时连续时间建模和推理领域的主要权威之一A.R. Bergstrom;1972年在《计量经济学》上发表硕士论文。菲利普斯曾就读于伦敦经济学院,在那里他获得了博士学位
Econometric TheoryMATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
1.90
自引率
0.00%
发文量
52
审稿时长
>12 weeks
期刊介绍:
Since its inception, Econometric Theory has aimed to endow econometrics with an innovative journal dedicated to advance theoretical research in econometrics. It provides a centralized professional outlet for original theoretical contributions in all of the major areas of econometrics, and all fields of research in econometric theory fall within the scope of ET. In addition, ET fosters the multidisciplinary features of econometrics that extend beyond economics. Particularly welcome are articles that promote original econometric research in relation to mathematical finance, stochastic processes, statistics, and probability theory, as well as computationally intensive areas of economics such as modern industrial organization and dynamic macroeconomics.