'Rational Rules' argues that moral learning can be understood in terms of general-purpose rational learning procedures. Nichols provides statistical learning accounts of some fundamental aspects of moral development, combining aspects of traditional empiricist and rationalist approaches.
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Rules used to render decisions provide an unusually attractive research site. They allow empirical study of such global questions as how rational, active people & institutions are governed by forces they do not understand or control. Ultrarational, moderate rational, moderate nonrational, & ultranonrational positions are explored. Most rules seem to be quite nonrational, but most of the research on various kinds of rules, & systematic differences among those who apply them, has yet to be carried out. 37 References. HA
By introducing controlled-foreign-corporation (CFC) rules, the parent country of a multinational firm reserves the right to tax the income of the firm's foreign affiliates, if the tax rate in the affiliate's host country is below a specified threshold. In this paper, we identify the conditions under which binding CFC rules are part of the optimal tax mix chosen by governments. We show that this is the case when the financial structure of the multinational firm responds elastically to the introduction of the CFC rule, outweighing the negative effects on the firm's investment decision in the parent country, and on the profits of the home-owned firm in the parent country's welfare objective. We also show that if the government is mostly interested in maximizing tax revenues, a tighter CFC rule is associated with a tighter thin capitalization rule in its policy optimum.
Risks induced by extreme events are characterized by small or ambiguous probabilities, catastrophic losses, or windfall gains. Through a new functional, that mimics the restricted Bayes‐Hurwicz criterion within the Choquet expected utility approach, it is possible to represent the decisionmaker behavior facing both risky (large and reliable probability) and extreme (small or ambiguous probability) events. A new formalization of the precautionary principle (PP) is shown and a new functional, which encompasses both extreme outcomes and expectation of all the possible results for every act, is claimed.