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Non-standard Central Bank loss functions; skewed risks; and certainty equivalence Author info | Abstract | Publisher info | Download info | Related research | Statistics Livio Stracca () (European Central Bank, Kaiserstrasse 29, Postfach 16 03 19, 60066 Frankfurt am Main, Germany. )
Ali Al-Nowaihi () (University of Leicester - Department of Economics, Leicester LE1 7RH, United Kingdom. )
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This paper sets out to investigate the role of additive uncertainty under plausible non-standard central bank loss functions over future inflation. Building on a substantial body of evidence in the economic psychology literature, this paper postulates (i) period-by-period loss functions that are non-convex, i.e. displaying diminishing or non-increasing sensitivity to losses, and (ii) non-linear weighing of probabilities, hence departing from the expected utility paradigm. The main conclusion of the study is that if the additive uncertainty is caused by a non-normal distributed additive shock, for instance if the probability distribution of the shock is skewed, then with these departures from the quadratic function the principle of certainty equivalence does not hold anymore. Thus, it appears that with additive uncertainty of the non-normal type the assumption of a quadratic loss function for the central banker may not be as innocuous as it is commonly regarded. JEL Classification: E52; E58.
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Date of creation: Feb 2002Date of revision:
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Keywords: Monetary policy ; non-quadratic loss functions ; economic psychologic ; certainty equivalence. ; Other versions of this item:
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