ユニークカジノ入金不要ボーナス

<ウェブサイト名>

<現在の時刻>

出典: 標準

This page uses Javascript. Please enable Javascript in your browser. Skip to Content Japanese English Chinese About RIETI Site Map Help Contact Discussion Papers Search Site Search Menu Research Areas Research Programs (FY2024-2028) Research Programs (FY2020-2023) Research Programs (FY2016-2019) Research Programs (FY2011-2015) Policy Research Domains (FY2006-2010) Projects Survey Fellows According to Title Alphabetical order RIETI Alumni Research/Policy Papers Discussion Papers (English) Discussion Papers (Japanese) Policy Discussion Papers (English) Policy Discussion Papers (Japanese) Technical Papers (English) Technical Papers (Japanese) Non Technical Summaries List of Articles in Journals Research Digest Discussion Papers Search Publications RIETI Books (English) RIETI Books (Japanese) History of Japan's Trade and Industry Policy Authors' Words Other Publications (English) Other Publications (Japanese) Events Symposiums Workshops BBL Seminars Archived Seminar Series Data JIP Database R-JIP Database CIP Database Industry-Specific Nominal and Real Effective Exchange Rates AMU and AMU Deviation Indicators JSTAR RIETI-TID RIETI FDI Database ICPA Project Links Articles Column Special Series Newspapers & Magazines Fellows' Works VoxEU Column From IZA Perspectives from Around the World Other Contents RIETI Report Policy Update Keizai Sangyo Journal (METI Journal) Research Areas Fellows Research/Policy Papers Publications Events Data Articles Site Map Technical Issues Coontact Discussion Papers Search Close HomeResearch/Policy PapersDiscussion Papers (Japanese)FY2023 Using Supply Chain Network Information and High-frequency Mobility Data to Forecast Firm Dynamics Print Author Name KATO Rui (Sumitomo Mitsui Finance and Leasing Co., Ltd.) / MIYAKAWA Daisuke (Waseda University) / YANAOKA Masaki (Tokyo Shoko Research, Ltd.) / YUKIMOTO Shinji (Sumitomo Mitsui Finance and Leasing Co., Ltd.)      Creation Date/NO. January 2024 24-J-005 Research Project Firm Dynamics, Industry, and Macroeconomy Download / Links Download paper [PDF:868KB] (Japanese)      Abstract The use of GPS location data is increasingly common in recent years. In this paper, we use individual-level GPS location data to measure the size of factory-level populations and to forecast the leasing demand of the transaction partners of the companies for which the factory-level population is measured. First, we use GPS location data to measure changes in the population at the main factories of companies in the manufacturing industry. Second, using such measured data and their lease contract data, we construct a machine learning-based prediction model of leasing demand within the company’s suppliers. Except for the periods when corporate activities were greatly disturbed by the COVID-19 pandemic, the use of the GPS location data improves the prediction power of the leasing demand. Research/Policy Papers Discussion Papers (English) Discussion Papers (Japanese) FY2024 FY2023 FY2022 FY2021 FY2020 FY2019 FY2018 FY2017 FY2016 FY2015 FY2014 FY2013 FY2012 FY2011 FY2010 FY2009 FY2008 FY2007 FY2006 FY2005 FY2004 Policy Discussion Papers (English) Policy Discussion Papers (Japanese) Technical Papers (English) Technical Papers (Japanese) Non Technical Summaries List of Articles Published in Peer-reviewed Academic Journals Research Digest Links Discussion Papers Search Communications Newsletter RSS Feed Facebook X YouTube Research Areas Research Programs (FY2024-2028) Research Programs (FY2020-2023) Research Programs (FY2016-2019) Research Programs (FY2011-2015) Policy Research Domains (FY2006-2010) Projects Survey Fellows Research/Policy Papers Discussion Papers (English) Discussion Papers (Japanese) Policy Discussion Papers (English) Policy Discussion Papers (Japanese) Technical Papers (English) Technical Papers (Japanese) Non Technical Summaries List of Articles in Journals Research Digest Discussion Papers Search Publications RIETI Books (English) RIETI Books (Japanese) History of Japan's Trade and Industry Policy Authors' Words Other Publications (English) Other Publications (Japanese) Events Symposiums Workshops BBL Seminars Archived Seminar Series Data JIP Database R-JIP Database CIP Database Industry-Specific Nominal and Real Effective Exchange Rates AMU and AMU Deviation Indicators JSTAR RIETI-TID RIETI FDI Database ICPA Project Links Articles Column Special Series Newspapers & Magazines Fellows' Works VoxEU Column From IZA Perspectives from Around the World Other Contents RIETI Report Policy Update Keizai Sangyo Journal (METI Journal) About RIETI Privacy Policy Site Policy Site Map Help Contact METI Web Site Research Institute of Economy, Trade and Industry, IAA (JCN 6010005005426)JCN: Japan Corporate Number Opinions expressed or implied on this website are solely those of the author, and do not necessarily represent the views of the Research Institute of Economy, Trade and Industry (RIETI).Titles, numbers, specific names, etc. on this website are as of the date of publication. In the case of reposting material from our website, contact us beforehand. Top

最低賭金条件 サウジアラビアリーグ見る方法 1000usdt日本円 ユースカジノログイン
Copyright ©ユニークカジノ入金不要ボーナス The Paper All rights reserved.