Modeling Interstate Banking in the United States: the Spatial 3-Stage Least Squares Approach

Authors

  • Bin Zhou Department of Geography, Campus Box 1459, Southern Illinois University Edwardsville, Edwardsville, Illinois, 62026, United States

DOI:

https://doi.org/10.30564/jgr.v2i3.1375

Abstract

This study uses a spatial 3-stage least squares approach to model interstate banking of the United States in 1994 and 2014. The method simultaneously takes into account spatial dependence, outward and inward interstate banking and their interaction, and the temporal effects in interstate banking. The study shows that a healthy economic structure, an expanding market, and permissive banking legislation encourage inward interstate banking. A healthy economic structure is a basis for strong banking firms to rise and to expand in other states.  Large banking institutions were dominate in outward interstate banking while smaller firm sizes tend to be associated with inward interstate banking. By 2014, large and well-capitalized banking firms from states with a healthy economic structure had expanded into states with lower income levels, and lower capital-to-labor ratios, higher labor resource use, and lower profitability in their banking industry. Evidence shows some banking geographical fragmentation remains. 

Keywords:

Interstate banking, Banking legislation, Spatial dependence, Contemporaneous correlation 3-stage least squares

References

[1] Adams, R.M.. Consolidation and merger activity in the U.S. banking industry from 2000 to 2010.Federal Reserve Working Paper, 2012, 51.

[2] Anselin, L.. Spatial Econometrics: Methods and Models. Kluwer Academic Publishers, Dordrecht,Netherlands, 1988.

[3] Anselin, L.. GMM estimation of spatial error autocorrelation with and without heteroscedasticity,2011.http://la1.rcc.uchicago.edu/media/geoda_files/docs/Anselin_GMM_notes.pdf

[4] Ashcraft, A.B.. Are bank holding company a source of strength of their banking subsidiaries? Journal of Money Credit, and Banking, 2008, 40(2-3): 273-294.

[5] Azar, J., Raina, S. and Schmalz, M.. Ultimate ownership and bank competition,2016.https://papers.ssrn.com/sol3/Papers.cfm?abstract_id=2710252

[6] Avery, R.B., Bostic, R.W., Calem, P.S., and Canner,G.B.. Changes in the distribution of banking offices.Federal Reserve Bulletin, 1997: 707-725.

[7] Berger, A.N., Demsetz, R.S., and Strahan, P.E.. The consolidation of the financial service industry: causes, consequences, and implications for the future.Journal of Banking and Finance, 1999, 23(2-4): 135-194.

[8] Brevoort, K.P. and Wolken, J.D.. Does distance matter in banking? In: Alessandrini P, Fratianni M, and Zazzaro A (ed) The Changing geography of banking and finance, Springer, New York, 2009:27-56.

[9] Calomiris, C.W.. U.S. banking deregulation in historical perspective. New York: Cambridge University Press, 2000.

[10] DeYoung, R. Evanoff, D.D. and Molyneux, P.. Merger and acquisitions of financial institutions: a review of the post-2000 literature. Journal of Financial Services Research, 2009, 36: 87-110.

[11] Gaskins, F.. IPO preview: Midland States Bancorp,2011, Accessed 4 May, 2015.http://seekingalpha.com/article/286334-ipo-preview-midland-states-bancorp

[12] Greene, W.H.. Econometric analysis. New York,NY:Macmillan Publishing Company, 1993.

[13] Gunther, J.W.. Geographic liberalization and the accessibility of banking services in rural areas. Federal Reserve Bank of Dallas Working Paper, 1997, Accessed Oct 120,2016.http://www.dallasfed.org/assets/documents/banking/fiswp/fiswp9701.pdf

[14] Henningsen A. and Hamann J.D.. Systemfit: A package for estimating systems of simultaneous equations in R. Journal of Statistical Software, 2007, 23(4).

[15] Johnson, C. and Rice, T.. Assessing a decade of interstate bank branching. Washington and Lee Law

[16] Review, 2008, 65(1): 73-127. Jones, K.J., and Critchfield, T.. Consolidation of the U.S. banking industry: Is the “long, strange trip”about to end? FDIC Bank Review, 2005, 17: 31-61.

[17] Kane, E.J.. De Jure interstate banking: why only now? Journal of Money, Credit & Banking, 1996,28(2): 141-161.

[18] Kelejian, H.H. and Prucha, I.R.. A Generalized Spatial Two Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances. Journal of Real Estate Finance and Economics, 1998, 17: 99-121.

[19] Kelejian, H. H., and Prucha, I. R.. A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model. International Economic Review,1999, 40: 509-533.

[20] Kelejian, H.H., Prucha, I.R. and Yuzeforvich Y..Instrumental variable estimation of a spatial autoregressive model with autoregressive disturbances:large and small sample results. In Spatial and Spatio temporal Econometrics: Advances in Econometrics, Emerald Groups Publishing Limited,2004,18: 163-198.

[21] Kowalik M., Davig T., Morris C.S. and Regehr, K..Bank consolidation and merger activities following the crisis. Economic Review of Federal Reserve Bank, Kansas City Fourth Quarter, 2015:31-49.

[22] Lee, L.. Best spatial two-stage least squares estimators for a spatial autoregressive model with spatial autoregressive disturbances. Econometric Reviews,2003, 22(4): 307-335.

[23] McLaughlin, S.. The impact of interstate banking and branching reform: evidence from the states. Federal Reserve Bank of New York Current Issues, 1995: 1-5.

[24] Meslier, C. Morgan, D.P. Samolyk, K. and Tarazi, A..The benefits of intrastate and interstate geographic diversification in banking. SSRN Electronic Journal,2014.https://www.researchgate.net/publica-tion/272305377_The_Benefits_of_Intrastate_and_Interstate_Geographic_Diversification_in_Banking

[25] Miller, R.B.. American banking in crisis. Homewood,Illinois: Dow Jones-Irving, 1990.

[26] Morgan, D.P., Rime, B., and Strahan, P.E.. Bank integration and business cycles. The Quarterly Journal of Economics, 2004, 126: 1555-1584.

[27] Park, K.Y.. Interstate banking deregulation and bank loan commitments. The B.E. Journal of Macroeconomics, 2012, 12(2): 1-27.

[28] Phillis, D. and Pavel, C.. Interstate banking game plans: implications for the Midwest. Federal Reserve Bank of Chicago Economic Perspectives, 1986: 23-39.

[29] Rhoades, A.S.. Concentration in local and national markets. Economic Review, 1985: 28-30.

[30] Rhoades, A. S.. Bank mergers and banking structure in the United States: 1980-1998. Federal Reserve Bank Staff Study, 2000,174.https://www.federalreserve.gov/pubs/staffstudies/2000-present/ss174.pdf

[31] Rice, T. and Strahan, P.E.. Does credit competition affect small-firm finance? The Journal of Finance,2010, 65(3): 861-889.

[32] Rogers, D.. The Future of American Banking. New York, NY: McGraw-Hill, 1993.

[33] Rose, P.S.. The changing structure of American banking. New York, NY: Columbia University Press,1987.

[34] Schmalz, M.. One big reason there‘s so little competition among U.S. banks. Harvard Business Review Digital Articles, 2016.

[35] Wheelock, C. D.. Banking industry consolidation and market structure: impact of financial crisis and recession. Federal Reserve Bank of St. Louis Review (Nov/Dec), 2011: 419-438.

[36] Woodridge, J.F.. Introductory econometrics: A modern approach. Mason, OH: South-Western, 2013.

[37] Yildirim, H.S. and Mohanty, S.K.. Geographic deregulation and competition in the U.S. banking industry.Financial markets institutions & instruments, 2010,19(2): 63-94.

[38] Zellner, A.. An efficient method of estimating seeming unrelated regressions and test for aggregation bias. Journal of American Statistical Association,1962, 57(298): 348-368.

[39] Zhou, B and Kockelman, K.M.. Predicting the distribution of households and employment: a seemingly unrelated regression model with two spatial processes. Journal of Transport Geography, 2009, 19: 369-376.

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How to Cite

Zhou, B. (2019). Modeling Interstate Banking in the United States: the Spatial 3-Stage Least Squares Approach. Journal of Geographical Research, 2(3), 30–42. https://doi.org/10.30564/jgr.v2i3.1375

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