IDEAS home Printed from https://ideas.repec.org/f/pka1294.html
   My authors  Follow this author

Nobuyuki Kanazawa

Personal Details

First Name:Nobuyuki
Middle Name:
Last Name:Kanazawa
Suffix:
RePEc Short-ID:pka1294
https://sites.google.com/site/nkanazawa0205/

Affiliation

Faculty of Economics
Soka University

Hachioji, Japan
http://keizai.soka.ac.jp/
RePEc:edi:fesokjp (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. KANAZAWA, Nobuyuki & 金澤, 伸幸, 2018. "Radial Basis Functions Neural Networks for Nonlinear Time Series Analysis and Time-Varying Effects of Supply Shocks," Discussion paper series HIAS-E-64, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
  2. KANAZAWA, Nobuyuki & 金澤, 伸幸, 2018. "The Public Investment Multipliers: Evidence from Stock Returns of Narrowly Defined Industry in Japan," Discussion paper series HIAS-E-66, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
  3. Ms. Luisa Zanforlin & Nobuyuki Kanazawa, 2014. "Market Signals and the Cost of Credit Risk Protection: An Analysis of CDS Settlement Auctions," IMF Working Papers 2014/239, International Monetary Fund.

Articles

  1. Kanazawa, Nobuyuki, 2021. "Public investment multipliers: Evidence from stock returns of the road pavement industry in Japan," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
  2. Kanazawa, Nobuyuki, 2020. "Radial basis functions neural networks for nonlinear time series analysis and time-varying effects of supply shocks," Journal of Macroeconomics, Elsevier, vol. 64(C).
  3. Edward M Feasel & Nobuyuki Kanazawa, 2013. "Sentiment toward Trading Partners and International Trade," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(3), pages 309-327.

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. KANAZAWA, Nobuyuki & 金澤, 伸幸, 2018. "Radial Basis Functions Neural Networks for Nonlinear Time Series Analysis and Time-Varying Effects of Supply Shocks," Discussion paper series HIAS-E-64, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.

    Cited by:

    1. Gabriel Borrageiro & Nick Firoozye & Paolo Barucca, 2021. "Online Learning with Radial Basis Function Networks," Papers 2103.08414, arXiv.org, revised Oct 2022.
    2. Giovanni Ballarin, 2023. "Impulse Response Analysis of Structural Nonlinear Time Series Models," Papers 2305.19089, arXiv.org, revised Aug 2023.

  2. KANAZAWA, Nobuyuki & 金澤, 伸幸, 2018. "The Public Investment Multipliers: Evidence from Stock Returns of Narrowly Defined Industry in Japan," Discussion paper series HIAS-E-66, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.

    Cited by:

    1. Morita, Hiroshi & 森田, 裕史, 2019. "Forecasting Public Investment Using Daily Stock Returns," Discussion paper series HIAS-E-88, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    2. Dante Cardoso & Laura Carvalho & Gilberto Tadeu Lima & Luiza Nassif-Pires & Fernando Rugitsky & Marina Sanches, 2023. "The Multiplier Effects of Government Expenditures on Social Protection: A Multi-Country Analysis," Working Papers, Department of Economics 2023_11, University of São Paulo (FEA-USP).

Articles

  1. Kanazawa, Nobuyuki, 2021. "Public investment multipliers: Evidence from stock returns of the road pavement industry in Japan," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).

    Cited by:

    1. Masami Imai, 2020. "Local Economic Impacts of Legislative Malapportionment," Wesleyan Economics Working Papers 2020-002, Wesleyan University, Department of Economics.
    2. Tomomi Miyazaki & Haruo Kondoh, 2022. "Effects of Monetary and Fiscal Policy Interactions on Regional Employment: Evidence from Japan," Discussion Papers 2206, Graduate School of Economics, Kobe University.

  2. Kanazawa, Nobuyuki, 2020. "Radial basis functions neural networks for nonlinear time series analysis and time-varying effects of supply shocks," Journal of Macroeconomics, Elsevier, vol. 64(C).
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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) 2018-03-19 2018-04-23
  2. NEP-BIG: Big Data (1) 2018-03-19
  3. NEP-CMP: Computational Economics (1) 2018-03-19
  4. NEP-ECM: Econometrics (1) 2018-03-19
  5. NEP-ETS: Econometric Time Series (1) 2018-03-19
  6. NEP-ORE: Operations Research (1) 2018-03-19

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Nobuyuki Kanazawa should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.