IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v50y2022ics1544612322004986.html
   My bibliography  Save this article

A smooth difference-in-differences model for assessing gradual policy effects: Revisiting the impact of banking deregulation on income distribution

Author

Listed:
  • Wang, Zheng-Xin
  • Jv, Yue-Qi

Abstract

A smooth difference-in-differences (smooth DID) method is proposed to revisit the effects of banking deregulation in the United States on income distribution. This simpler nonlinear DID model includes a smooth transition function (STF) to determine gradual policy effects on treatment groups. Based on economic implications and a series of tests, the impact of bank deregulation on gradually reducing income inequality is confirmed.

Suggested Citation

  • Wang, Zheng-Xin & Jv, Yue-Qi, 2022. "A smooth difference-in-differences model for assessing gradual policy effects: Revisiting the impact of banking deregulation on income distribution," Finance Research Letters, Elsevier, vol. 50(C).
    • Handle: RePEc:eee:finlet:v:50:y:2022:i:c:s1544612322004986
    DOI: 10.1016/j.frl.2022.103319
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612322004986
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2022.103319?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Dongyang & Du, Pengcheng & Chen, Yaowen, 2019. "Can designed financial systems drive out highly polluting firms? An evaluation of an experimental economic policy," Finance Research Letters, Elsevier, vol. 31(C).
    2. Fan, Yanqin & Yu, Zhengfei, 2012. "Partial identification of distributional and quantile treatment effects in difference-in-differences models," Economics Letters, Elsevier, vol. 115(3), pages 511-515.
    3. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    4. Greenwood, Jeremy & Jovanovic, Boyan, 1990. "Financial Development, Growth, and the Distribution of Income," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 1076-1107, October.
    5. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    6. Esther Duflo, 2001. "Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment," American Economic Review, American Economic Association, vol. 91(4), pages 795-813, September.
    7. Randall S. Kroszner & Philip E. Strahan, 1999. "What Drives Deregulation? Economics and Politics of the Relaxation of Bank Branching Restrictions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(4), pages 1437-1467.
    8. Delgado, Michael S. & Florax, Raymond J.G.M., 2015. "Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction," Economics Letters, Elsevier, vol. 137(C), pages 123-126.
    9. Jayaratne, Jith & Strahan, Philip E, 1998. "Entry Restrictions, Industry Evolution, and Dynamic Efficiency: Evidence from Commercial Banking," Journal of Law and Economics, University of Chicago Press, vol. 41(1), pages 239-273, April.
    10. Eitrheim, Oyvind & Terasvirta, Timo, 1996. "Testing the adequacy of smooth transition autoregressive models," Journal of Econometrics, Elsevier, vol. 74(1), pages 59-75, September.
    11. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    12. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    13. Benjamin Born & Jörg Breitung, 2016. "Testing for Serial Correlation in Fixed-Effects Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(7), pages 1290-1316, August.
    14. Lundbergh, Stefan & Terasvirta, Timo & van Dijk, Dick, 2003. "Time-Varying Smooth Transition Autoregressive Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 104-121, January.
    15. Álvaro Escribano & Oscar Jordá, 2001. "Testing nonlinearity: Decision rules for selecting between logistic and exponential STAR models," Spanish Economic Review, Springer;Spanish Economic Association, vol. 3(3), pages 193-209.
    16. Ben Cheikh, Nidhaleddine & Ben Zaied, Younes & Chevallier, Julien, 2021. "On the nonlinear relationship between energy use and CO2 emissions within an EKC framework: Evidence from panel smooth transition regression in the MENA region," Research in International Business and Finance, Elsevier, vol. 55(C).
    17. Altunbaş, Yener & Thornton, John, 2020. "Finance and income inequality revisited," Finance Research Letters, Elsevier, vol. 37(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Bing & Yin, Weijun & Chen, Gang & Yao, Jing, 2023. "The threshold effect of climate risk and the non-linear role of climate policy uncertainty on insurance demand: Evidence from OECD countries," Finance Research Letters, Elsevier, vol. 55(PA).
    2. Zhichang Cai & ChengHe Guan & An Trinh & Bo Zhang & Zhibin Chen & Sumeeta Srinivasan & Chris Nielsen, 2022. "Satisfactions on Self-Perceived Health of Urban Residents in Chengdu, China: Gender, Age and the Built Environment," Sustainability, MDPI, vol. 14(20), pages 1-17, October.

    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. Miao, Ke & Su, Liangjun & Wang, Wendun, 2020. "Panel threshold regressions with latent group structures," Journal of Econometrics, Elsevier, vol. 214(2), pages 451-481.
    2. Anne Beck & Sebastian Doerr, 2023. "The financial origins of regional inequality," BIS Working Papers 1151, Bank for International Settlements.
    3. Amore, Mario Daniele & Schneider, Cédric & Žaldokas, Alminas, 2013. "Credit supply and corporate innovation," Journal of Financial Economics, Elsevier, vol. 109(3), pages 835-855.
    4. Liu, Bing & Yin, Weijun & Chen, Gang & Yao, Jing, 2023. "The threshold effect of climate risk and the non-linear role of climate policy uncertainty on insurance demand: Evidence from OECD countries," Finance Research Letters, Elsevier, vol. 55(PA).
    5. Popov, Alexander, 2017. "Evidence on finance and economic growth," Working Paper Series 2115, European Central Bank.
    6. Asongu, Simplice A. & Nnanna, Joseph & Acha-Anyi, Paul N., 2020. "Finance, inequality and inclusive education in Sub-Saharan Africa," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 162-177.
    7. Strikholm, Birgit & Teräsvirta, Timo, 2005. "Determining the Number of Regimes in a Threshold Autoregressive Model Using Smooth Transition Autoregressions," SSE/EFI Working Paper Series in Economics and Finance 578, Stockholm School of Economics, revised 11 Feb 2005.
    8. Jiang, Tianjiao & Levine, Ross & Lin, Chen & Wei, Lai, 2020. "Bank deregulation and corporate risk," Journal of Corporate Finance, Elsevier, vol. 60(C).
    9. Ross Levine & Alexey Levkov & Yona Rubinstein, 2008. "Racial Discrimination and Competition," NBER Working Papers 14273, National Bureau of Economic Research, Inc.
    10. Saia, Artjom, 2023. "Digitalization and CO2 emissions: Dynamics under R&D and technology innovation regimes," Technology in Society, Elsevier, vol. 74(C).
    11. Liangliang Jiang & Ross Levine & Chen Lin, 2016. "Competition and Bank Opacity," The Review of Financial Studies, Society for Financial Studies, vol. 29(7), pages 1911-1942.
    12. Ọláyínká Oyèkọ́lá, 2021. "Finance and inequality in a panel of US States," Empirical Economics, Springer, vol. 61(5), pages 2739-2795, November.
    13. Anindo Sarker & Bulent Unel, 2017. "The Impact of Bank Expansion on Self-Employed Business Owners: Evidence from US States," Departmental Working Papers 2017-06, Department of Economics, Louisiana State University.
    14. Béreau, Sophie & Villavicencio, Antonia López & Mignon, Valérie, 2010. "Nonlinear adjustment of the real exchange rate towards its equilibrium value: A panel smooth transition error correction modelling," Economic Modelling, Elsevier, vol. 27(1), pages 404-416, January.
    15. Laeven, Luc & Levine, Ross & Michalopoulos, Stelios, 2015. "Financial innovation and endogenous growth," Journal of Financial Intermediation, Elsevier, vol. 24(1), pages 1-24.
    16. Ahmadova, Gozal & Delgado-Márquez, Blanca L. & Pedauga, Luis E. & Leyva-de la Hiz, Dante I., 2022. "Too good to be true: The inverted U-shaped relationship between home-country digitalization and environmental performance," Ecological Economics, Elsevier, vol. 196(C).
    17. Andrew Phiri, 2019. "Does Military Spending Nonlinearly Affect Economic Growth in South Africa?," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(4), pages 474-487, June.
    18. Antonia López-Villavicencio & Valérie Mignon, 2009. "On Equilibrium Exchange Rates: Is Emerging Asia Different?," Working Papers 2009-38, CEPII research center.
    19. Thorsten Beck & Asli Demirguc-Kunt & Luc Laeven & Ross Levine, 2008. "Finance, Firm Size, and Growth," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(7), pages 1379-1405, October.
    20. Ekaterina Ponomareva & Alexandra Bozhechkova & Alexandr Knobel, 2012. "Factors of Economic Growth," Published Papers 172, Gaidar Institute for Economic Policy, revised 2013.

    More about this item

    Keywords

    Difference-in-differences model; Banking deregulation; Income distribution; Gradual policy effect;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

    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:eee:finlet:v:50:y:2022:i:c:s1544612322004986. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.