KIER 京都大学経済研究所 Kyoto Institute of Economic Research

JP

Events

Category
Date
Title
Presenter/Location
Details
Macroeconomics
2024/01/31 Wed
15:00〜16:30
Optimal Fiscal Policy With Heterogeneous Agents and Capital: Should We Increase or Decrease Public Debt and Capital Taxes? ーマクロ経済学セミナー共催ー
Xavier Ragot（パリ政治学院（Sciences-Po））
京都大学 法経済学部東館 8階リフレッシュルーム
Micro/Game
2024/01/25 Thu
17:00〜18:00
[博士論文公開審査会/dissertation defenses]
Essays on Strategic Information Transmission and Spreading Information
Dohui Woo (Osaka Sangyo University)
本館1階会議室
Micro/Game
2024/01/18 Thu
17:00〜17:30
[修士論文報告会 / Master's Papers Presentations]
Dynamic Many-to-One Matching under Constraints
Rui He (Kyoto University)
本館1階会議室
CAPS
2024/01/12 Fri
13:00〜17:00
KIER-CAPS Research Workshop on Applied Economics
Chia-Hui Chen (Kyoto University), Tetsushi Horie (Gakushuin University), Tomohiro Iguchi (MOF), Taro Ohno (MOF), Yukiko Saito (Waseda University), Naoki Tani (Kyoto University)
Room 105, KIER main building, Kyoto University（京都大学 経済研究所 本館105第二共同研究室）

KIER-CAPS Research Workshop on Applied Economics | EVENTS | 京都大学経済研究所先端政策分析研究センター（CAPS）

Micro/Game
2024/01/11 Thu
17:00〜18:30
Compensation vs. Reinforcement: using an RCT to estimate Parental Aversion to Inequality in Offspring
Hyunjae KANG (Kyoto University)
本館1階会議室
Micro/Game
2023/12/21 Thu
17:00〜18:30
Asymmetric Optimal Auction Design with Loss-Averse Bidders (Joint with Akitoshi MURAMOTO)
Takeharu Sogo (SKEMA Business School)
本館1階会議室
Micro/Game
2023/12/14 Thu
17:00〜18:30
Costly Advertising and Information Congestion: Insights from Pigou's Successors
Ryoji Jinushi (Seikei University)
本館1階会議室
Macroeconomics
2023/12/07 Thu
15:00〜16:30
Firm Debt and Default over the Pandemic and Recovery (with Aubhik Khan, Tatsuro Senga, and Julia K. Thomas)ーマクロ経済学セミナー 共催ー
In Hwan Jo (National University of Singapore)
京都大学経済研究所 北館N202講義室
Micro/Game
2023/11/30 Thu
17:00〜18:30
Good biases in misspecified learning
Jonathan Newton (Kyoto University)
本館1階会議室またはオンライン開催
Econometrics
2023/11/29 Wed
16:45〜18:15
Self-normalization for time series with complex structures
Stanislav Volgushev (University of Toronto)
第一共同研究室（４F北側）

Abstract:
Self-normalization if a tuning free inference method for time series that avoids long-run variance estimation. This talk will introduce the basic idea behind self-normalization and give intuition on when this method is applicable. We will also discuss the usage of self-normalization in two specific settings: change-point detection in the mean of high-dimensional time series and testing relevant hypotheses in functional time series.

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