New evidence on returns to scale and product mix among U.S. commercial banks

By David C. Wheelock, Paul Wilson. 2001

161 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Finance, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/e44644351995f4e491671fbe1dff663a221bc382

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Citations in the corpus

Do Large Banks have Lower Costs? New Estimates of Returns to Scale for U.S. Banks (2009, methodology): “Thus, it appears that including off-balance sheet output and equity capital explains why we obtain evidence of increasing ray-scale economies throughout the range of bank sizes in the present paper when Wheelock and Wilson (2001) did not.”
Estimation and inference in two-stage, semi-parametric models of production processes (2007, background): “6It is common for data to be rather unevenly distributed over P in applications; examples include data for banks (Wheelock and Wilson, 2000, 2001) and hospitals (Wilson and Carey, 2004).”
Cost efficiency of Slovenian water distribution utilities: an application of stochastic frontier methods (2008, methodology): “For a discussion and application of the abovementioned methods see, for example, McAllister and McManus (1993), Mitchell and Onvural (1996), Wheelock and Wilson (2001) and Wilson and Carey (2004).”
The End of Market Discipline? Investor Expectations of Implicit State Guarantees (2013, background): “McAllister and McManus (1993) and Wheelock and Wilson (2001) find increasing economies of scale to at least $500 million in assets.”
Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non‐parametric, two‐stage models of production (2018, unknown): “It is well known that the distribution of US bank sizes is heavily skewed to the right; in fact, the distribution of total assets of US banks is roughly log–log-normal; see, e.g., Wheelock and Wilson (2001) for a discussion.”
Bank liquidity creation and risk-taking: : Does managerial ability matter? (2016, unknown): “…(DEA) and stochastic frontier analysis (SFA), have attracted substantial attention in the literature, as they allow insights into the determinants of efficiency (see, for example, Berger, 2003; Berger and Bonaccorsi di Patti, 2006; Feng and Serletis, 2010; Mester, 1997; Wheelock and Wilson, 2001).”