2011
DOI: 10.1111/j.1539-6975.2011.01439.x
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The Impact of Scale, Complexity, and Service Quality on the Administrative Costs of Pension Funds: A Cross‐Country Comparison

Abstract: Administrative costs per participant appear to vary widely across pension funds in different countries. Using unique data on 90 pension funds over the period 2004–2008, this article examines the impact of scale, the complexity of pension plans, and service quality on the administrative costs of pension funds, and compares those costs across Australia, Canada, the Netherlands, and the United States. We find that, except for Canada, large unused economies of scale exist. Higher service quality and more complex p… Show more

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Cited by 40 publications
(27 citation statements)
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“…They also find that retail plans, opened to the general public, have expenses that are 70% higher than plans with employer sponsors. Bikker et al (2012) also apply a model similar to that represented in equation 2, for pension funds in Australia, Canada, the Netherlands, and the United States. Besides using a different set of control variables, they perform panel data analysis, incorporating time dimension to the sample, and using annual values for variables from 2004 to 2008.…”
Section: Pension Funds Administrative Expensesmentioning
confidence: 99%
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“…They also find that retail plans, opened to the general public, have expenses that are 70% higher than plans with employer sponsors. Bikker et al (2012) also apply a model similar to that represented in equation 2, for pension funds in Australia, Canada, the Netherlands, and the United States. Besides using a different set of control variables, they perform panel data analysis, incorporating time dimension to the sample, and using annual values for variables from 2004 to 2008.…”
Section: Pension Funds Administrative Expensesmentioning
confidence: 99%
“…We refer to this difference between public and nonpublic sponsored fund as sponsor bias, which is the point that we aim to investigate deeper in the present study. Abi-Ramia et al (2015), as well as Bikker et al (2012), use panel data analysis on a model similar to equation (2), but for a sample of Brazilian EFPC (closed pension funds), in years 2010 and 2011. Each observation is identified by a fund index and by a time (year) index, as expressed in equation 3, where all variables and parameters follow the same description as in equation (2).…”
Section: Pension Funds Administrative Expensesmentioning
confidence: 99%
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