About. Given name: Takuya (pronounced as “Tah-Koo-Yah”) CV: Dropbox Link. Working papers: - Finite Sample Inference for the Maximum Score Estimand with Adam M. Rosen. - Identification and Inference of Network Formation Games with Misclassified Links with Luis E. Candelaria. Abstract: This paper proposes a new method of inference in high-dimensional regression models and high-dimensional IV regression models. Estimation is based on a combined use of the orthogonal greedy algorithm, high-dimensional Akaike information criterion, and double/debiased machine learning. The method of inference for any low-dimensional subvector of high-dimensional parameters is based on a root-$N$ asymptotic normality, which is shown to hold without requiring the exact sparsity condition or the Lp sparsity condition. Simulation studies demonstrate superior finite-sample performance of this proposed method over those based on the LASSO or the random forest, especially under less sparse models. We illustrate an application to production analysis with a panel of Chilean firms. Abstract: This paper proposes a novel method of algorithmic subsampling (data sketching) for multiway cluster dependent data. We establish a new uniform weak law of large numbers and a new central limit theorem for the multiway algorithmic subsample means. Consequently, we discover an additional advantage of the algorithmic subsampling that it allows for robustness against potential degeneracy, and even non-Gaussian degeneracy, of the asymptotic distribution under multiway clustering. Simulation studies support this novel result, and demonstrate that inference with the algorithmic subsampling entails more accuracy than that without the algorithmic subsampling. Applying these basic asymptotic theo... Panty and stocking trigger 【資格】 Google Analytics/Google Adwords認定資格 ウェブ解析士 ประสบการณ์ Web Consultant Yahoo! Inc. เม.ย. 2010 - ปัจจุบัน12 ปี 9 เดือน Within 23 wards, Tokyo, Japan LCSチームと共に主に大手クライアントに対するweb系のコンサルティングを行っております。. Hentaifox uncensored Given name: Takuya (pronounced as "Tah-Koo-Yah") Ph.D. (Economics), Duke University, 2016 CV: Dropbox Link Giantess vore anal Identification and Inference of Network Formation Games with Misclassified Links. Luis E. Candelaria, Takuya Ura. This paper considers a network formation model when links are potentially misclassified. We focus on a game-theoretical model of strategic network formation with incomplete information, in which the linking decisions depend on. Anime porn bj Takuya Ura We provide a finite sample inference method for the structural parameters of a semiparametric binary response model under a conditional median restriction originally studied by Manski. Tsuande nudes Male anal vore Hengai manga About. Given name: Takuya (pronounced as “Tah-Koo-Yah”) CV: Dropbox Link. Working papers: - Finite Sample Inference for the Maximum Score Estimand with Adam M. Rosen. - Identification and Inference of Network Formation Games with Misclassified Links with Luis E. Candelaria. Takuya Ura Department of Economics University of California, Davis April 6, 2023 Abstract Many estimators of dynamic discrete choice models with permanent unobserved heterogene-ity have desirable statistical properties but may be computationally intensive. In this paper we Akaza hair color Download a PDF of the paper titled Identification and Inference of Network Formation Games with Misclassified Links, by Luis E. Candelaria and Takuya Ura Abstract: This paper considers a network formation model when links are potentially misclassified. We focus on a game-theoretical model of strategic network formation with incomplete information, in which the linking decisions depend on agents' exogenous attributes and endogenous network characteristics. In the presence of link misclassification, we derive moment conditions that characterize the identified set for the preference parameters associated with homophily and network externalities. Based on the moment equality conditions, we provide an inference method that is asymptotically valid when a single network of many agents is observed. Finally, we apply our misclassification-robust method to study the preference parameters of a lending network in rural villages in southern India. arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Takuya Ura - UC Davis “Slow Movers in Panel Data”, together w/Yuya Sasaki Abstract. Panel data often contain stayers (units with no within-variations) and slow. アレクシア ゲーム Amouranth pussy onlyfans Nina hartley neighbor Takuya Ura Department of Economics University of California, Davis April 6, 2023 Abstract Many estimators of dynamic discrete choice models with permanent unobserved heterogene-ity have desirable statistical properties but may be computationally intensive. In this paper we エロ 画像 東方 こいし Takuya Ura Professor in the Economics department at Duke University N/A Would take again 3 Level of Difficulty Rate Professor Ura I'm Professor Ura Submit a Correction Professor Ura 's Top Tags Clear grading criteria Would take again Caring Check out Similar Professors in the Economics Department 5.00 Duncan Thomas 5.00 John Caccavale Heintai mom