lynx   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0502.html
   My bibliography  Save this article

Consumer heterogeneity and the use of cashless payments in Japan in 2007–2020: a latent class approach

Author

Listed:
  • Besstremyannaya, Galina

    (HSE University, Moscow, Russian Federation)

  • Dasher, Richard

    (Stanford University, Stanford, USA)

  • Ganaga, Egor

    (HSE University, Moscow, Russian Federation)

Abstract
The paper exploits ordered choice logit models with latent classes to account for unobservable consumer heterogeneity in analyzing the preferences for cashless payments in Japan for purchases of different sizes. Using the data of the Survey of Household Finance (2007–2020), we discover that consumers separate into classes of more and less frequent users of cashless payments for each category of purchases. The probability of belonging to the former class is positively related to the fact of consumer taking measures for the protection of their financial assets. The results reveal a statistically different effect of consumer socio-demographic characteristics (sex, age, income, employment, education, household size), the binary variable for residence in a large city and Kanto region, and the dummies for 2019 and 2020 on the choice of cashless payments in the two latent classes.

Suggested Citation

  • Besstremyannaya, Galina & Dasher, Richard & Ganaga, Egor, 2024. "Consumer heterogeneity and the use of cashless payments in Japan in 2007–2020: a latent class approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 75, pages 33-53.
    • Handle: RePEc:ris:apltrx:0502
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "A latent class segmentation analysis of e-shoppers," Journal of Business Research, Elsevier, vol. 57(7), pages 758-767, July.
    2. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, November.
    3. repec:cup:cbooks:9781108422536 is not listed on IDEAS
    4. Ryotaro Shimizu & Haruka Yamashita & Masao Ueda & Ranna Tanaka & Tetsuya Tachibana & Masayuki Goto, 2020. "Latent Variable Models for Integrated Analysis of Credit and Point Usage History Data on Rewards Credit Card System," International Business Research, Canadian Center of Science and Education, vol. 13(3), pages 106-106, March.
    5. Jones, A., 2007. "Applied Econometrics for Health Economists: A Practical Guide," Monographs, Office of Health Economics, number 000262.
    6. Marc Rysman, 2007. "An Empirical Analysis Of Payment Card Usage," Journal of Industrial Economics, Wiley Blackwell, vol. 55(1), pages 1-36, March.
    7. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2009. "Quantitative Macroeconomics with Heterogeneous Households," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 319-354, May.
    8. Giovanni Compiani & Yuichi Kitamura, 2016. "Using mixtures in econometric models: a brief review and some new results," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 95-127, October.
    9. Galina Besstremyannaya, 2015. "Heterogeneous effect of coinsurance rate on healthcare expenditure: generalized finite mixtures and matching estimators," Applied Economics, Taylor & Francis Journals, vol. 47(58), pages 6331-6361, December.
    10. Andrzej Cwynar & Beata Świecka & Kamil Filipek & Robert Porzak, 2022. "Consumers' knowledge of cashless payments: Development, validation, and usability of a measurement scale," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(2), pages 640-665, June.
    11. Sergei Koulayev & Marc Rysman & Scott Schuh & Joanna Stavins, 2016. "Explaining adoption and use of payment instruments by US consumers," RAND Journal of Economics, RAND Corporation, vol. 47(2), pages 293-325, May.
    12. Cohen, Michael & Rysman, Marc, 2012. "Payment Choice with Consumer Panel Data," Working Paper series 148348, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    13. Beata Świecka & Paweł Terefenko & Tomasz Wiśniewski & Jingjian Xiao, 2021. "Consumer Financial Knowledge and Cashless Payment Behavior for Sustainable Development in Poland," Sustainability, MDPI, vol. 13(11), pages 1-18, June.
    14. Hiroshi Fujiki, 2022. "Household financial services, financial literacy, and COVID-19 pandemic," Applied Economics Letters, Taylor & Francis Journals, vol. 29(7), pages 615-618, April.
    15. Hiroshi Fujiki, 2020. "Correction to: The use of noncash payment methods for regular payments and the household demand for cash: evidence from Japan," The Japanese Economic Review, Springer, vol. 71(4), pages 767-768, October.
    16. Stavins, Joanna, 2018. "Consumer preferences for payment methods: Role of discounts and surcharges," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 35-53.
    17. Sophie Baudat & Caroline Henchoz, 2023. "Money in one click: Inequalities in digital financial practices and digital Skills among emerging adults in Switzerland," Journal of Family and Economic Issues, Springer, vol. 44(3), pages 602-618, September.
    18. Brooks,Chris, 2019. "Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9781108436823, January.
    19. Hiroshi Fujiki, 2020. "The use of noncash payment methods for regular payments and the household demand for cash: evidence from Japan," The Japanese Economic Review, Springer, vol. 71(4), pages 719-765, October.
    20. Besstremyannaya, Galina, 2017. "Measuring income equity in the demand for healthcare with finite mixture models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 5-29.
    21. Santos Silva, Joao M. C. & Windmeijer, Frank, 2001. "Two-part multiple spell models for health care demand," Journal of Econometrics, Elsevier, vol. 104(1), pages 67-89, August.
    22. Deb, Partha & Trivedi, Pravin K, 1997. "Demand for Medical Care by the Elderly: A Finite Mixture Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 313-336, May-June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fujiki, Hiroshi, 2020. "Cash demand and financial literacy: A case study using Japanese survey data," Japan and the World Economy, Elsevier, vol. 54(C).
    2. Marc Rysman & Scott Schuh, 2017. "New Innovations in Payments," Innovation Policy and the Economy, University of Chicago Press, vol. 17(1), pages 27-48.
    3. Tobias Trütsch, 2016. "The impact of mobile payment on payment choice," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(3), pages 299-336, August.
    4. Arango, Carlos & Huynh, Kim P. & Sabetti, Leonard, 2015. "Consumer payment choice: Merchant card acceptance versus pricing incentives," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 130-141.
    5. Hiroshi Fujiki, 2023. "Attributes needed for Japan’s central bank digital currency," The Japanese Economic Review, Springer, vol. 74(1), pages 117-175, January.
    6. Joanna Stavins, 2017. "How do consumers make their payment choices?," Research Data Report 17-1, Federal Reserve Bank of Boston.
    7. Galina Besstremyannaya, 2014. "Heterogeneous effect of coinsurance rate on healthcare costs: generalized finite mixtures and matching estimators," Discussion Papers 14-014, Stanford Institute for Economic Policy Research.
    8. Elisabeth Honka & Ali Hortaçsu & Maria Ana Vitorino, 2017. "Advertising, consumer awareness, and choice: evidence from the U.S. banking industry," RAND Journal of Economics, RAND Corporation, vol. 48(3), pages 611-646, August.
    9. Lo Prete, Anna, 2022. "Digital and financial literacy as determinants of digital payments and personal finance," Economics Letters, Elsevier, vol. 213(C).
    10. Besstremyannaya, Galina, 2017. "Measuring income equity in the demand for healthcare with finite mixture models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 5-29.
    11. Carbó-Valverde, Santiago & Cuadros-Solas, Pedro J. & Rodríguez-Fernández, Francisco & Sánchez-Béjar, José Juan, 2023. "Mobility restrictions and payment choices: The case of the Covid-19 pandemic," Journal of Behavioral and Experimental Finance, Elsevier, vol. 40(C).
    12. Tamás Briglevics & Scott Schuh, 2020. "This Is What's in Your Wallet...and Here's How You Use It," Working Papers 20-04, Department of Economics, West Virginia University.
    13. Joanna Stavins, 2017. "How do consumers make their payment choices?," Research Data Report 17-1, Federal Reserve Bank of Boston.
    14. BURNEY, Nadeem A. & ALENEZI, Mohammad & HAMADA, Salwa & AL-MUSALLAM, Nadia, 2019. "The Demand for Public and Private Medical Care Services: Evidence from Kuwait," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 72(1), pages 107-138.
    15. Bruno Karoubi & Régis Chenavaz & Corina Paraschiv, 2016. "Consumers’ perceived risk and hold and use of payment instruments," Applied Economics, Taylor & Francis Journals, vol. 48(14), pages 1317-1329, March.
    16. Erik Schokkaert & Tom Van Ourti & Diana De Graeve & Ann Lecluyse & Carine Van de Voorde, 2010. "Supplemental health insurance and equality of access in Belgium," Health Economics, John Wiley & Sons, Ltd., vol. 19(4), pages 377-395, April.
    17. Christian Kleiber & Achim Zeileis, 2016. "Visualizing Count Data Regressions Using Rootograms," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 296-303, July.
    18. Kim Huynh & Gradon Nicholls & Oleksandr Shcherbakov, 2019. "Explaining the Interplay Between Merchant Acceptance and Consumer Adoption in Two-Sided Markets for Payment Methods," Staff Working Papers 19-32, Bank of Canada.
    19. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.
    20. Toke Fosgaard & Adriaan Soetevent, 2025. "I will donate later! A field experiment on cell phone donations to charity," Natural Field Experiments 00814, The Field Experiments Website.

    More about this item

    Keywords

    cashless payments; unobservable heterogeneity; latent classes; finite mixture; ordered choice models;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • G50 - Financial Economics - - Household Finance - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:apltrx:0502. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    Please note that corrections may 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.
    Лучший частный хостинг