Productivity change in European banking: A comparison of parametric and non-parametric approaches

By Barbara Casu, Claudia Girardone, Phil Molyneux. 2004

399 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/895a8e64bf0b7785abf835156c4d9b4e99854654

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Citations in the corpus

Productivity Growth in the Greek Banking Industry: A Non-Parametric Approach (2006, background): “(2001) to explore productivity growth for a group of large US commercial banks over the initial post-regulation period 1984-1990; Canhoto and Dermine (2003) to examine banking efficiency and productivity in Portugal during the deregulation period 1990-1995; and Casu et al. (2003) to investigate prod”
International evidence on the impact of regulations and supervision on banks’ technical efficiency: an application of two-stage data envelopment analysis (2007, neutral): “A few studies such as Lozano-Vivas et al. (2002), Casu et al. (2004), Weill (2004) provide comparisons of various techniques, resulting in a number of applications which is higher than the number of studies.”
Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2010, neutral): “Casu et al. (2004) compare productivity growth estimates obtained through parametric and non-parametric approaches.”
Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model (2011, result): “Further the positive and statistically significant coefficient of ROA corresponds with other empirical studies (Isik and Hassan, 2003, Casu et al. 2004).”
Efficiency and Productivity Change in the English Higher Education Sector from 1996/97 to 2004/5 (2008, neutral): “productivity change even if the underlying technology exhibits VRS (Coelli et al 1998; Casu et al 2004 ).”
Financial liberalisation, crisis, and restructuring: A comparative study of bank performance and bank governance in South East Asia (2005, background): “, 2001); surges and regress in productivity growth (Alam, 2001); productivity growth being determined more by technological progress than efficiency improvements (Casu et al., 2004; Williams, 2001); and differences in bank performance measured by alternative measurement concepts (Berger and Mester, ”
Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis (2014, methodology): “When using parametric and non-parametric approaches to examine productivity changes in European banks during the 1990s, Casu et al. (2004) found that the two approaches do not yield very significant results in identifying the main components of productivity growth.”
Exploring the Nexus between Banking Sector Reform and Performance: Evidence from Newly Acceded EU Countries (2008, methodology): “9 This decomposition has been subject to a number of criticisms (see Casu et al., 2004), mainly in terms of the role of constant returns vs. variable returns to scale frontiers.”
Regulatory Reform and Productivity Change in Indian Banking (2013, neutral): “First, we use both parametric and nonparametric techniques because they have wellknown complementary properties, and consistency in their results strengthens the analysis and is particularly useful for regulators and other decision makers (Bauer et al., 1998; Casu et al. 2004).”
The sources of bank productivity growth in China during 2002-2009: A disaggregation view (2012, methodology): “…productivity growth is mainly driven by technical change for the American (Alam, 2001; Mukherjee et al., 2001), European, and Japanese banks (e.g., Casu et al., 2004; Koutsomanoli-Filippaki et al., 2009; Barros et al., 2010; Assaf et al., 2011) by applying the Malmquist index or Luenberger index.”
Do Bank Regulation, Supervision and Monitoring Enhance or Impede Bank Efficiency? (2013, methodology): “, Casu et al., 2004; Drake et al., 2006), we posit an intermediation model that has four inputs and three outputs. The three basic inputs (Xi) are: X1 (total deposits + total money market funds + total other funding); X2 (personnel expenses as labor input); and X3 (total fixed assets as physical inp”