2023/10/12 Thu
Shigeki Isogai (Southwestern University of Finance and Economics)
2023/10/05 Thu
Volker Nocke (University of Mannheim)
2023/10/02 Mon
【要・事前登録】[京都大学大学院経済学研究科と共催]  高田保馬記念講演会 因果推論の開祖 Imbens教授特別セミナー
Guido W. Imbens (Stanford University)
京都大学 芝蘭会館 稲盛ホール
2023/09/28 Thu
Forward and Reverse Bayesianism under Ambiguity
Mayumi Horie (Hiroshima University of Economics)
2023/09/21 Thu
Competition in Securitization
Michael Zierhut (Humboldt University)
2023/09/15 Fri
1) Prediction and nonparametric inference on random objects
2) Counterfactual Identification and Latent Space Enumeration
Daisuke Kurisu (University of Tokyo)
Jiaying Gu (University of Toronto)
第一共同研究室 (4F北側)

1) Daisuke Kurisu (U of Tokyo) 15:10 – 16:25

Title: Prediction and nonparametric inference on random objects
Abstract: In this presentation, I will talk about two topics on statistical analysis of non-Euclidean data.
Firstly, we extend the notion of model averaging for conventional regression models to Frechet regression, which has Euclidean predictors and a non-Euclidean output.
Specifically, we will introduce a cross-validation (CV) criterion for selecting model averaging weights and demonstrate its optimality in terms of the final prediction error.
Through simulation results, we will illustrate that CV outperforms AIC and BIC-type model averaging estimators.

Secondly, we consider statistical inference on the Frechet mean, which is a generalization of the conventional population mean.
In particular, we introduce empirical likelihood (EL) methods for the inference on Frechet means of Manifold-valued data and study asymptotic properties of the EL statistics.
We also discuss some extensions of our main results.
Simulation and real data analysis illustrate the usefulness of the proposed method.

2) Jiaying Gu (U of Toronto) 16:40 – 17:55

Title: Counterfactual Identification and Latent Space Enumeration (joint work with Thomas Russell and Thomas Stringham).

Abstract: This paper provides a unified framework for partial identification of counterfactual parameters in a general class of discrete outcome models allowing for endogenous regressors and multidimensional latent variables, all without parametric distributional assumptions. Our main theoretical result is that, when the covariates are discrete, the infinite-dimensional latent variable distribution can be replaced with a finite-dimensional version that is equivalent from an identification perspective. The finite-dimensional latent variable distribution is constructed in practice by enumerating regions of the latent variable space with a new and efficient cell enumeration algorithm for hyperplane arrangements. We then show that bounds on a certain class of counterfactual parameters can be computed by solving a sequence of linear programming problems, and show how the researcher can introduce additional assumptions as constraints in the linear programs. Finally, we apply the method to a mobile phone choice example with heterogeneous choice sets, as well as an airline entry game example.

2023/09/14 Thu
Yusuke Osaki (Waseda University)
2023/09/05 Tue
Should Platforms be Held Liable for Defective Third-Party Goods?
Yusuke Zennyo (Kobe University)
法経東館2階 201演習室
2023/08/25 Fri
Urbanization in France over the last 250 years (with P.-P. Combes, L. Gobillon, C. Gorin and F. Robert-Nicoud)
Gilles Duranton (University of Pennsylvania)
京都大学経済研究所本館1階 106 会議室
2023/08/25 Fri
Workshop on the quantitative endogenous agglomeration models with Gilles Duranton (U Penn, Wharton School)
Gilles Duranton (U Penn), Shota Fujishima (Hitotsubashi U), Yosuke Kogure (Yachiyo Engineering), Tomoya Mori (Kyoto U), Minoru Osawa (Kyoto U), Tatsuya Sugminoto (Yachiyo Engineering), Yuki Takayama (Tokyo Institute of Technology)
京都大学経済研究所本館1階 106 会議室
Workshop on the quantitative endogenous agglomeration models with Gilles Duranton (U Penn, Wharton School) 
このワークショップは、森知也・高山雄貴(東京工業大学)を中心に構築してきた経済集積理論に基づく定量地域経済分析の枠組についての勉強会です。今回は、Gilles Duranton氏 (ペンシルバニア大学ウォートン校)を招き、現状の成果・課題・今後の展望について、我々の研究チームとDuranton氏が議論する形で進めます。報告は、森、大澤実(京都大学)、木暮洋介(八千代エンジニヤリング)を中心に行いますが、高山、杉本達哉(八千代エンジニヤリング)、藤島翔太(一橋大学)が、共同研究者として議論に参加します。


09:30 – 10:00

Tomoya Mori (Kyoto University)

A quantitative framework for endogenous agglomeration models: An overview



10:15 – 12:00

Minoru Osawa (Kyoto University)

A theoretical foundation for endogenous multimodal agglomeration



12:00 – 13:30

Working lunch

13:30 – 15:00

Tomoya Mori (Kyoto University) & Yosuke Kogure (Yachiyo Engineering)

Many-industry & many-region endogenous agglomeration models: Facts, theories, and structural analyses



15:15 – 16:00

Discussion on recent trends of quantitative spatial models