2021
DOI: 10.1007/s11135-021-01170-2
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The consumer’s demand functions defined to study contingent consumption plans

Abstract: Given two probability distributions expressing returns on two single risky assets of a portfolio, we innovatively define two consumer’s demand functions connected with two contingent consumption plans. This thing is possible whenever we coherently summarize every probability distribution being chosen by the consumer. Since prevision choices are consumption choices being made by the consumer inside of a metric space, we show that prevision choices can be studied by means of the standard economic model of consum… Show more

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Cited by 7 publications
(5 citation statements)
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References 39 publications
(29 reference statements)
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“…We are found inside the budget set of the decision maker. We are found inside a subset of R × R. Note that we also deal with the weighted average of n 2 estimated quantities of consumption for good 1 and good 2 that are jointly considered (see also [17] with regard to what is demanded for goods). They derive from the Cartesian product given by {x 1 1 , .…”
Section: Nonrandom Goods Demanded Under Claimed Conditions Of Certaintymentioning
confidence: 99%
“…We are found inside the budget set of the decision maker. We are found inside a subset of R × R. Note that we also deal with the weighted average of n 2 estimated quantities of consumption for good 1 and good 2 that are jointly considered (see also [17] with regard to what is demanded for goods). They derive from the Cartesian product given by {x 1 1 , .…”
Section: Nonrandom Goods Demanded Under Claimed Conditions Of Certaintymentioning
confidence: 99%
“…to denote that P(X 1 ) and P(X 2 ) depend on objective and subjective elements (see [28]). Given (P(X 1 ), P(X 2 )), a given investor also chooses a summarized element of the Fréchet class such that P(X 1 ) and P(X 2 ) never vary.…”
Section: A Full Analogy Between Properties Connected With Expected Re...mentioning
confidence: 99%
“…where a ∈ R is an arbitrary constant. We consider infinite changes of origin in this way (Angelini and Maturo 2021a).…”
Section: A Random Good: Logical and Probabilistic Aspectsmentioning
confidence: 99%