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Kohei Maehashi

Personal Details

First Name:Kohei
Middle Name:
Last Name:Maehashi
Suffix:
RePEc Short-ID:pma3008
[This author has chosen not to make the email address public]

Affiliation

Bank of Japan

Tokyo, Japan
http://www.boj.or.jp/
RePEc:edi:bojgvjp (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Takuji Fueki & Kohei Maehashi, 2019. "Inflation Dynamics in the Age of Robots: Evidence and Some Theory," Bank of Japan Working Paper Series 19-E-9, Bank of Japan.
  2. Takuji Kawamoto & Tatsuya Ozaki & Naoya Kato & Kohei Maehashi, 2017. "Methodology for Estimating Output Gap and Potential Growth Rate: An Update," Bank of Japan Research Papers 17-05-31, Bank of Japan.

Articles

  1. Maehashi, Kohei & Shintani, Mototsugu, 2020. "Macroeconomic forecasting using factor models and machine learning: an application to Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Takuji Fueki & Kohei Maehashi, 2019. "Inflation Dynamics in the Age of Robots: Evidence and Some Theory," Bank of Japan Working Paper Series 19-E-9, Bank of Japan.

    Cited by:

    1. Siena Daniele, & Zago Riccardo., 2021. "Job Polarization and the Flattening of the Price Phillips Curve," Working papers 819, Banque de France.
    2. Emilio Ocampo, 2020. "The Global Disinflation Puzzle. A Selective Review of the Theory and Evidence in an Historical Context," CEMA Working Papers: Serie Documentos de Trabajo. 726, Universidad del CEMA.
    3. Josué Diwambuena & Francesco Ravazzolo, 2022. "What are the drivers of Labor Productivity?," BEMPS - Bozen Economics & Management Paper Series BEMPS86, Faculty of Economics and Management at the Free University of Bozen.

  2. Takuji Kawamoto & Tatsuya Ozaki & Naoya Kato & Kohei Maehashi, 2017. "Methodology for Estimating Output Gap and Potential Growth Rate: An Update," Bank of Japan Research Papers 17-05-31, Bank of Japan.

    Cited by:

    1. Makoto Saito, 2021. "Public Bonds as Money Substitutes at Near-Zero Interest Rates: Disequilibrium Analysis of the Current and Future Japanese Economy," Advances in Japanese Business and Economics, in: Strong Money Demand in Financing War and Peace, pages 79-119, Springer.
    2. Sekine, Toshitaka, 2022. "Looking from Gross Domestic Income: Alternative view of Japan’s economy," Japan and the World Economy, Elsevier, vol. 64(C).
    3. Stefano Di Bucchianico, 2018. "A Note on Krugman's Liquidity Trap," UMASS Amherst Economics Working Papers 2018-17, University of Massachusetts Amherst, Department of Economics.
    4. Mr. Fei Han, 2019. "Demographics and the Natural Rate of Interest in Japan," IMF Working Papers 2019/031, International Monetary Fund.
    5. Bianca PĂUNA & George GEORGESCU, 2021. "EU’s CAM and Potential GDP Estimates. Some Inconsistent Results in the Case of Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-16, December.
    6. Sohei Kaihatsu & Maiko Koga & Tomoya Sakata & Naoko Hara, 2019. "Interaction between Business Cycles and Economic Growth," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 37, pages 99-126, November.
    7. Yoshihiko Hogen & Ryoichi Okuma, 2018. "The Anchoring of Inflation Expectations in Japan: A Learning-Approach Perspective," Bank of Japan Working Paper Series 18-E-8, Bank of Japan.
    8. Yosuke Okazaki & Nao Sudo, 2018. "Natural Rate of Interest in Japan -- Measuring its size and identifying drivers based on a DSGE model --," Bank of Japan Working Paper Series 18-E-6, Bank of Japan.
    9. Naohisa Hirakata & Kazutoshi Kan & Akihiro Kanafuji & Yosuke Kido & Yui Kishaba & Tomonori Murakoshi & Takeshi Shinohara, 2019. "The Quarterly Japanese Economic Model (Q-JEM): 2019 version," Bank of Japan Working Paper Series 19-E-7, Bank of Japan.
    10. Tomiyuki Kitamura & Masaki Tanaka, 2019. "Firms' Inflation Expectations under Rational Inattention and Sticky Information: An Analysis with a Small-Scale Macroeconomic Model," Bank of Japan Working Paper Series 19-E-16, Bank of Japan.
    11. Felipe, Jesus & Estrada, Gemma, 2020. "What happened to the world's potential growth after the 2008–2009 global financial crisis?," Journal of the Japanese and International Economies, Elsevier, vol. 56(C).
    12. Junko Koeda, 2018. "Macroeconomic Effects of Quantitative and Qualitative Monetary Easing Measures," IMES Discussion Paper Series 18-E-16, Institute for Monetary and Economic Studies, Bank of Japan.
    13. Sohei Kaihatsu & Mitsuru Katagiri & Noriyuki Shiraki, 2023. "Phillips Correlation and Price‐Change Distributions under Declining Trend Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(5), pages 1271-1305, August.

Articles

  1. Maehashi, Kohei & Shintani, Mototsugu, 2020. "Macroeconomic forecasting using factor models and machine learning: an application to Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).

    Cited by:

    1. S. Madhumitha & Anubhab Pattanayak & K.S. Kavi Kumar, 2021. "Crop Diversity and Resilience to Droughts: Evidence from Indian Agriculture," Working Papers 2021-206, Madras School of Economics,Chennai,India.
    2. Dennis Kant & Andreas Pick & Jasper de Winter, 2022. "Nowcasting GDP using machine learning methods," Working Papers 754, DNB.
    3. Ilkin Huseynov & Nazrin Ramazanova & Hikmat Valirzayev, 2022. "Using National Payment System Data to Nowcast Economic Activity in Azerbaijan," IHEID Working Papers 23-2022, Economics Section, The Graduate Institute of International Studies.
    4. Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).
    5. James T. E. Chapman & Ajit Desai, 2022. "Macroeconomic Predictions using Payments Data and Machine Learning," Papers 2209.00948, arXiv.org.
    6. Kakuho Furukawa & Ryohei Hisano, 2022. "A Nowcasting Model of Exports Using Maritime Big Data," Bank of Japan Working Paper Series 22-E-19, Bank of Japan.
    7. Muhammad Anees Khan & Kumail Abbas & Mazliham Mohd Su’ud & Anas A. Salameh & Muhammad Mansoor Alam & Nida Aman & Mehreen Mehreen & Amin Jan & Nik Alif Amri Bin Nik Hashim & Roslizawati Che Aziz, 2022. "Application of Machine Learning Algorithms for Sustainable Business Management Based on Macro-Economic Data: Supervised Learning Techniques Approach," Sustainability, MDPI, vol. 14(16), pages 1-14, August.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MAC: Macroeconomics (2) 2017-06-04 2019-06-24. Author is listed
  2. NEP-DCM: Discrete Choice Models (1) 2017-06-04. Author is listed
  3. NEP-MON: Monetary Economics (1) 2019-06-24. Author is listed

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