Aspirational preferences and their representation by risk measures (Online Appendix)

نویسندگان

  • David B. Brown
  • Enrico de Giorgi
چکیده

Though the general setup does not require a particular probability measure, there may be situations in which the decision maker makes choices according to some subjective, probabilistic beliefs. For such decision makers, it is useful to understand the implied stochastic ordering properties of their choices relative to the underlying probability measure P ∈ P that they are using. In this section, we characterize these properties for aspiration measures. We show that aspiration measures share the stochastic dominance properties of their underlying risk family. Moreover, we show that under the mild assumption that the aspiration measure is indifferent to all acts with the same distribution under P, then the aspiration measure preserves first-order stochastic dominance (FSD) for all acts, second-order stochastic dominance (SSD) for all acts in the diversification favoring set, and risk-seeking stochastic dominance (RSSD) for all acts in the concentration favoring set. We first recall the definition of the stochastic orders just mentioned. Note that in this section, if not specified explicitly, expectations are taken with respect to the probability measure P. We say that f dominates g by FSD if and only if E [u(g)] ≥ E [u(g)] for all nondecreasing functions u; in this case we write f ≥(1) g. Similarly, f dominates g by SSD (respectively RSSD) if and only if E [u(f)] ≥ E [u(g)] for all u nondecreasing and concave (respectively convex); in this case we write f ≥(2) g (respectively f ≥(−2) g). Equivalent definitions of first order, second order and risk-seeking stochastic dominance can be found in Levy (2006). We first note the following.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Aspirational Preferences and Their Representation by Risk Measures

W consider choice over uncertain, monetary payoffs and study a general class of preferences. These preferences favor diversification, except perhaps on a subset of sufficiently disliked acts over which concentration is instead preferred. This structure encompasses a number of known models (e.g., expected utility and several variants under a concave utility function). We show that such preferenc...

متن کامل

Online Appendix: Preferences for Flexibility and Randomization under Uncertainty

In this online appendix, we present an extension of Theorem 1. We show that an RUA representation can incorporate the variational preferences of Maccheroni, Marinacci, and Rustichini (2006), which are general enough to incorporate other well-known uncertainty-averse preferences, such as the maxmin preferences of Gilboa and Schmeidler (1989), the multiplier preferences of Hansen and Sargent (200...

متن کامل

Visual Diet versus Associative Learning as Mechanisms of Change in Body Size Preferences

Systematic differences between populations in their preferences for body size may arise as a result of an adaptive 'prepared learning' mechanism, whereby cues to health or status in the local population are internalized and affect body preferences. Alternatively, differences between populations may reflect their 'visual diet' as a cognitive byproduct of mere exposure. Here we test the relative ...

متن کامل

Uncertainty analysis of hierarchical granular structures for multi-granulation typical hesitant fuzzy approximation space

Hierarchical structures and uncertainty measures are two main aspects in granular computing, approximate reasoning and cognitive process. Typical hesitant fuzzy sets, as a prime extension of fuzzy sets, are more flexible to reflect the hesitance and ambiguity in knowledge representation and decision making. In this paper, we mainly investigate the hierarchical structures and uncertainty measure...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012