Taking as sample, data obtained directly by the pension fund of an Italian
multinational containing more than 35 thousand members, it is assessed, through
logistic regression models, how demographic characteristics might affect individual
risk aversion. The test is useful to identify groups of workers that by nature are
more risk averse and could be disadvantaged by the 2006 TFR (severance
indemnity) Italian pension reform. For example women controlling for age,
income, region and financial literacy prefer lower risky portfolio and they are more
likely to switch toward safer sub-funds.
This analysis could support the policymaker to calibrate a suitable appendix to the
last TFR reform in order to cover gaps in opportunities among different kind of risk
takers mitigating the so called “social security risk”.
In the meantime, it is taken the occasion of such a rich dataset to exploit this
sizeable shock in order to test forced (or semi-forced) participation, confirming
higher risk aversion for forced participants.Taking as sample, data obtained directly by the pension fund of an Italian
multinational containing more than 35 thousand members, it is assessed, through
logistic regression models, how demographic characteristics might affect individual
risk aversion. The test is useful to identify groups of workers that by nature are
more risk averse and could be disadvantaged by the 2006 TFR (severance
indemnity) Italian pension reform. For example women controlling for age,
income, region and financial literacy prefer lower risky portfolio and they are more
likely to switch toward safer sub-funds.
This analysis could support the policymaker to calibrate a suitable appendix to the
last TFR reform in order to cover gaps in opportunities among different kind of risk
takers mitigating the so called “social security risk”.
In the meantime, it is taken the occasion of such a rich dataset to exploit this
sizeable shock in order to test forced (or semi-forced) participation, confirming
higher risk aversion for forced participants.LUISS PhD Thesi
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