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The North American Winter Meeting of the Econometric Society will be held in San Antonia, Texas in January as part of the annual meeting of the Allied Social Sciences Association.
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Astonishing recent progress in numerical optimization presents many opportunities and challenges for modern data analysis and scientific inference. Econometrics and statistics offer a valuable angle from which to study optimization problems and, conversely, operations research offers a...
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The 2023 North American Winter Meeting of the Econometric Society will be held in New Orleans, LA on January 5-8, 2023 as part of the annual meeting of the Allied Social Sciences Association. The program will consist of contributed and invited papers, and will start with a Presidential Address...
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The Conference on Web and Internet Economics (WINE) is an interdisciplinary forum for the exchange of ideas and results on incentives and computation arising from these various fields. Topics: Algorithmic Game Theory; Algorithmic Mechanism Design; Market Design; Auction Algorithms and Analysis;...
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The MEG 2022 Conference will be held in person. The annual Mentoring Workshop for junior women will take place the evening of Thursday, October 27 and the morning of Friday, October 28. Topic: Econometric Theory, Methods and Empirical Applications.
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The Federal Reserve Bank of Philadelphia is hosting a conference on Frontiers in Machine Learning and Economics: Methods and Applications on October 7-8, 2022. The goal of the conference is to bring together leading researchers across fields that work at the intersection of machine learning and...
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The 2022 Econometric Society DSE summer school consists of 4 days of lectures held in conjunction with the Dynamic Structural Econometrics Conference 2022 (August 19-20, 2021). The primary focus of DSE summer schools is to provide early-stage PhD students with the tools to carry out research in...
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The conference brings together top junior and senior researchers from the field to discuss recent advances in theoretical and applied work.
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