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Kuniyoshi Saito

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First Name:Kuniyoshi
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Last Name:Saito
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RePEc Short-ID:psa743
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Department of Economics, Meiji Gakuin University 1-2-37 Shirokane-dai, Minato-ku, Tokyo 108-8636 Japan
+81-3-5421-5384

Affiliation

Faculty of Economics
Meiji Gakuin University

Tokyo, Japan
http://www.meijigakuin.ac.jp/~econ/
RePEc:edi:ecmgujp (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Kuniyoshi Saito, 2019. "Lighthouse Provision In Premodern Japan," Economic Inquiry, Western Economic Association International, vol. 57(3), pages 1582-1596, July.
  2. Kuniyoshi Saito & Daisuke Tsuruta, 2018. "Information asymmetry in small and medium enterprise credit guarantee schemes: evidence from Japan," Applied Economics, Taylor & Francis Journals, vol. 50(22), pages 2469-2485, May.
  3. Saito Kuniyoshi & Kato Takaaki & Shimane Tetsuya, 2010. "Traffic Congestion and Accident Externality: A Japan-U.S. Comparison," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-31, February.
  4. Kuniyoshi Saito, 2009. "Evaluating Automobile Inspection Policy Using Auto Insurance Data," Contemporary Economic Policy, Western Economic Association International, vol. 27(2), pages 200-215, April.
  5. Kuniyoshi Saito, 2009. "Does asymmetric information matter in the early insurance market? Evidence from the auto insurance market," Applied Economics, Taylor & Francis Journals, vol. 41(21), pages 2653-2666.
  6. Kuniyoshi Saito, 2006. "Testing for Asymmetric Information in the Automobile Insurance Market Under Rate Regulation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(2), pages 335-356, June.

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.

Articles

  1. Kuniyoshi Saito, 2019. "Lighthouse Provision In Premodern Japan," Economic Inquiry, Western Economic Association International, vol. 57(3), pages 1582-1596, July.

    Cited by:

    1. Byron B. Carson, 2022. "Individuals and Externalities in Economic Epidemiology: A Tension and Synthesis," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 37(Fall 2022), pages 1-24.
    2. Dan Bogart & Oliver Buxton Dunn & Eduard J. Alvarez‐Palau & Leigh Shaw‐Taylor, 2022. "Organizations and efficiency in public services: The case of English lighthouses revisited," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 975-994, April.
    3. Candela, Rosolino A. & Geloso, Vincent, 2019. "Why consider the lighthouse a public good?," International Review of Law and Economics, Elsevier, vol. 60(C).
    4. Rosolino A. Candela & Vincent Geloso, 2019. "Coase and transaction costs reconsidered: the case of the English lighthouse system," European Journal of Law and Economics, Springer, vol. 48(3), pages 331-349, December.
    5. Callais, Justin T & Geloso, Vincent, 2023. "The political economy of lighthouses in antebellum America," European Economic Review, Elsevier, vol. 154(C).

  2. Kuniyoshi Saito & Daisuke Tsuruta, 2018. "Information asymmetry in small and medium enterprise credit guarantee schemes: evidence from Japan," Applied Economics, Taylor & Francis Journals, vol. 50(22), pages 2469-2485, May.

    Cited by:

    1. Xiuwei TANG & UCHIDA Hirofumi, 2020. "Differences in the Usage of Credit Guarantees Across Banks," Discussion papers 20029, Research Institute of Economy, Trade and Industry (RIETI).
    2. TSURUTA Daisuke, 2017. "SME Policies as a Barrier to Growth of SMEs," Discussion papers 17046, Research Institute of Economy, Trade and Industry (RIETI).
    3. Pankaj C. Patel & Mike G. Tsionas, 2022. "Learning‐by‐lending and learning‐by‐repaying: A two‐sided learning model for defaults on Small Business Administration loans," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 906-919, June.
    4. Natalie Cox & Ernest Liu & Daniel Morrison, 2021. "Market Power in Small Business Lending: A Two-Dimensional Bunching Approach," Working Papers 2021-27, Princeton University. Economics Department..
    5. Yang Yang & Xuezheng Chen & Jing Gu & Hamido Fujita, 2019. "Alleviating Financing Constraints of SMEs through Supply Chain," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    6. Théo Nicolas & Stefano Ungaro & Éric Vansteenberghe, 2023. "Public-Guaranteed Loans, Bank Risk-Taking and Regulatory Capital Windfall [Prêts garantis par l'État, prise de risque bancaire et effet d'aubaine sur le capital réglementaire]," Débats économiques et financiers 41, Banque de France.
    7. Tsuruta, Daisuke, 2019. "Working capital management during the global financial crisis: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 49(C), pages 206-219.
    8. TSURUTA Daisuke, 2021. "Distant Lending for Regional Small Businesses Using Public Credit Guarantee Schemes: Evidence from Japan," Discussion papers 21083, Research Institute of Economy, Trade and Industry (RIETI).
    9. Daisuke Tsuruta, 2023. "Do small businesses adjust their capital structure? Evidence from the global financial crisis in Japan," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S1), pages 843-871, April.
    10. Bing Xu & Jingwen Yang & Sonia Dasí-Rodríguez, 2020. "Determinants of credit availability for high-tech start-ups," International Entrepreneurship and Management Journal, Springer, vol. 16(4), pages 1483-1501, December.
    11. Simon Boateng & Kwabena Osei Poku, 2019. "Accessing finance among women-owned small businesses: evidence from lower Manya Krobo municipality, Ghana," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 9(1), pages 1-17, December.
    12. David Mhlanga, 2021. "Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment," IJFS, MDPI, vol. 9(3), pages 1-16, July.
    13. Bing Xu & Jingwen Yang & Sonia Dasí-Rodríguez, 0. "Determinants of credit availability for high-tech start-ups," International Entrepreneurship and Management Journal, Springer, vol. 0, pages 1-19.
    14. TSURUTA Daisuke, 2024. "Determinants and Consequences of Bank Borrowings of Small Businesses: Is the COVID-19 crisis special?," Discussion papers 24007, Research Institute of Economy, Trade and Industry (RIETI).
    15. TSURUTA Daisuke, 2023. "Credit Allocation and Public Credit Guarantee Schemes for Small Businesses: Evidence from Japan," Discussion papers 23083, Research Institute of Economy, Trade and Industry (RIETI).
    16. Song, Pengcheng & Zhang, Hai & Zhao, Qin, 2021. "Innovative Credit Guarantee Schemes with equity-for-guarantee swaps," International Review of Financial Analysis, Elsevier, vol. 77(C).
    17. Andini, Monica & Boldrini, Michela & Ciani, Emanuele & de Blasio, Guido & D'Ignazio, Alessio & Paladini, Andrea, 2022. "Machine learning in the service of policy targeting: The case of public credit guarantees," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 434-475.
    18. Caselli, Stefano & Corbetta, Guido & Cucinelli, Doriana & Rossolini, Monica, 2021. "A survival analysis of public guaranteed loans: Does financial intermediary matter?," Journal of Financial Stability, Elsevier, vol. 54(C).

  3. Saito Kuniyoshi & Kato Takaaki & Shimane Tetsuya, 2010. "Traffic Congestion and Accident Externality: A Japan-U.S. Comparison," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-31, February.

    Cited by:

    1. Piera Bello, 2021. "The environmental cost and the accident externality of driving: Evidence from the Swiss franc's appreciation," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1440-1458, July.

  4. Kuniyoshi Saito, 2006. "Testing for Asymmetric Information in the Automobile Insurance Market Under Rate Regulation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(2), pages 335-356, June.

    Cited by:

    1. Hyojoung Kim & Doyoung Kim & Subin Im & James W. Hardin, 2009. "Evidence of Asymmetric Information in the Automobile Insurance Market: Dichotomous Versus Multinomial Measurement of Insurance Coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(2), pages 343-366, June.
    2. Alois Geyer & Daniela Kremslehner & Alexander Muermann, 2020. "Asymmetric Information in Automobile Insurance: Evidence From Driving Behavior," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 969-995, December.
    3. David A. Cather, 2018. "Cream Skimming: Innovations in Insurance Risk Classification and Adverse Selection," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(2), pages 335-366, September.
    4. Paul Kofman & Gregory P. Nini, 2013. "Do Insurance Companies Possess an Informational Monopoly? Empirical Evidence From Auto Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(4), pages 1001-1026, December.
    5. Alma Cohen & Peter Siegelman, 2010. "Testing for Adverse Selection in Insurance Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 39-84, March.
    6. Ciprian MatiÅŸ & Eugenia MatiÅŸ, 2013. "Asymmetric Information In Insurance Field: Some General Considerations," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(15), pages 1-17.
    7. Okura Mahito & Yoshizawa Takuya & Sakaki Motohiro, 2021. "An Evaluation of the New Japanese Bonus–Malus System with No-claim and Claimed Subclasses," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 15(1), pages 1-12, January.
    8. Imen Karaa, 2018. "Moral Hazard and Learning in the Tunisian Automobile Insurance Market: New Evidence from Dynamic Data," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 560-589, July.
    9. Ben‐jiang Ma & Jing‐yu Ye & Yuan‐ji Huang & Muhammad Farhan Bashir, 2020. "Research of two‐period insurance contract model with a low compensation period under adverse selection," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 293-307, April.
    10. Bo Qu & Li Wei & Ping Wei, 2018. "An Empirical Investigation of Asymmetric Information in China’s Automobile Insurance Market," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 520-538, July.
    11. Cannon, Edmund & Cipriani, Giam Pietro & Bazar-Rosen, Katia, 2014. "Surprising Selection Effects in the UK Car Insurance Market," IZA Discussion Papers 8172, Institute of Labor Economics (IZA).
    12. Dionne, Georges, 2012. "The empirical measure of information problems with emphasis on insurance fraud and dynamic data," Working Papers 12-10, HEC Montreal, Canada Research Chair in Risk Management.
    13. Shengkun Xie & Rebecca Luo & Yuanshun Li, 2022. "Exploring Industry-Level Fairness of Auto Insurance Premiums by Statistical Modeling of Automobile Rate and Classification Data," Risks, MDPI, vol. 10(10), pages 1-21, October.
    14. Yarmukhamedov, Sherzod, 2013. "Empirical analysis of moral hazard: a study of a vehicle insurance tax reform," Working papers in Transport Economics 2013:14, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    15. Wei‐Jin Wu & Chu‐Shiu Li & Sheng‐Chang Peng, 2020. "The relationships between vehicle characteristics and automobile accidents," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(4), pages 331-377, December.
    16. Georges Dionnne & Pierre-Carl Michaud & Jean Pinquet, 2012. "A Review of Recent Theoretical and Empirical Analyses of Asymmetric Information in Road Safety and Automobile Insurance," Cahiers de recherche 1204, CIRPEE.
    17. Jing Ai & Lin Zhao & Wei Zhu, 2016. "Contracting with Present-Biased Consumers in Insurance Markets," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 41(2), pages 107-148, September.
    18. J François Outreville, 2010. "The Geneva Risk and Insurance Review 2009: In Quest of Behavioural Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 35(3), pages 484-497, July.
    19. Spindler, Martin & Winter, Joachim & Hagmayer, Steffen, 2012. "Asymmetric Information in the Market for Automobile Insurance: Evidence from Germany," MEA discussion paper series 201208, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    20. Hao Zheng & Yi Yao & Yinglu Deng & Feng Gao, 2022. "Information asymmetry, ex ante moral hazard, and uninsurable risk in liability coverage: Evidence from China's automobile insurance market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(1), pages 131-160, March.
    21. Philippe Donder & Jean Hindriks, 2009. "Adverse selection, moral hazard and propitious selection," Journal of Risk and Uncertainty, Springer, vol. 38(1), pages 73-86, February.
    22. David A. Cather, 2020. "Reconsidering insurance discrimination and adverse selection in an era of data analytics," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(3), pages 426-456, July.
    23. UCHIDA Hirofumi & UESUGI Iichiro & IWAKI Hiromichi, 2017. "Adverse Selection versus Moral Hazard in Financial Contracting: Evidence from collateralized and non-collateralized loans," Discussion papers 17058, Research Institute of Economy, Trade and Industry (RIETI).
    24. Saito Kuniyoshi & Kato Takaaki & Shimane Tetsuya, 2010. "Traffic Congestion and Accident Externality: A Japan-U.S. Comparison," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-31, February.
    25. Tomas J. Philipson & George Zanjani, 2013. "Economic Analysis of Risk and Uncertainty induced by Health Shocks: A Review and Extension," NBER Working Papers 19005, National Bureau of Economic Research, Inc.
    26. Marcelo Resende & Rodrigo Zeidan, 2010. "Adverse selection in the health insurance market: some empirical evidence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(4), pages 413-418, August.
    27. Benjamin M. Blau, 2017. "Lobbying, political connections and emergency lending by the Federal Reserve," Public Choice, Springer, vol. 172(3), pages 333-358, September.
    28. Casper H. de Jong, 2021. "Risk classification and the balance of information in insurance; an alternative interpretation of the evidence," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 24(4), pages 445-461, December.
    29. Kremslehner, Daniela & Muermann, Alexander, 2016. "Asymmetric information in automobile insurance: Evidence from driving behavior," CFS Working Paper Series 543, Center for Financial Studies (CFS).
    30. Hsu, Yung-Ching & Shiu, Yung-Ming & Chou, Pai-Lung & Chen, Yen-Ming J., 2015. "Vehicle insurance and the risk of road traffic accidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 201-209.
    31. Ma, Yu-Luen & Zhu, Xiaoyu & Hu, Xianbiao & Chiu, Yi-Chang, 2018. "The use of context-sensitive insurance telematics data in auto insurance rate making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 243-258.
    32. Shi, Peng & Valdez, Emiliano A., 2011. "A copula approach to test asymmetric information with applications to predictive modeling," Insurance: Mathematics and Economics, Elsevier, vol. 49(2), pages 226-239, September.
    33. Jennifer L. Wang & Ching‐Fan Chung & Larry Y. Tzeng, 2008. "An Empirical Analysis of the Effects of Increasing Deductibles on Moral Hazard," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(3), pages 551-566, September.
    34. Wu, T.C. Michael & Yang, C.C., 2012. "The welfare effect of income tax deductions for losses as insurance: Insured- versus insurer-sided adverse selection," Economic Modelling, Elsevier, vol. 29(6), pages 2641-2645.
    35. ByBenjamin M. Blau & Todd G. Griffith & Ryan J. Whitby, 2022. "Lobbying and lending by banks around the financial crisis by," Public Choice, Springer, vol. 192(3), pages 377-397, September.
    36. Christina Aperjis & Filippo Balestrieri, 2017. "Loss aversion leading to advantageous selection," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 203-227, December.
    37. Buchmueller, Thomas C. & Fiebig, Denzil G. & Jones, Glenn & Savage, Elizabeth, 2013. "Preference heterogeneity and selection in private health insurance: The case of Australia," Journal of Health Economics, Elsevier, vol. 32(5), pages 757-767.

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