Utility Models and Prospect Theory
http://lists.repec.org/mailman/listinfo/nep-upt
Utility Models and Prospect Theory
2019-02-18
Money, Lives, and Frames: What Evidence from Bulgarian Students Tells about Framing of Risky Choices
http://d.repec.org/n?u=RePEc:sko:wpaper:bep-2019-04&r=upt
Prospect theory accounted for the framing effect by assuming an automatic translation of the problem content into expected utilities and a passive acceptance of the externally provided frame regardless of problem content. The size of the framing effect in the famous Asian Disease problem initially suggested that these assumptions are met but subsequent research showed otherwise. In a dataset collected during regular class sessions among Bulgarian students, a framing effect was found for monetary problems but not for the Disease problem. These results are consistent with previous findings by the author and add to the view that a top-down and domain-specific approach might be a necessary complication when one is aiming to account for the psychological processes during risky choices.
Nikolay R. Rachev
Prospect Theory, Framing, Asian Disease Problem, Content Effects, Top-Down Processing.
2019-02
We are all Behavioral, More or Less: Measuring and Using Consumer-level Behavioral Sufficient Statistics
http://d.repec.org/n?u=RePEc:nbr:nberwo:25540&r=upt
Can a behavioral sufficient statistic empirically capture cross-consumer variation in behavioral tendencies and help identify whether behavioral biases, taken together, are linked to material consumer welfare losses? Our answer is yes. We construct simple consumer-level behavioral sufficient statistics—“B-counts”—by eliciting seventeen potential sources of behavioral biases per person, in a nationally representative panel, in two separate rounds nearly three years apart. B-counts aggregate information on behavioral biases within-person. Nearly all consumers exhibit multiple biases, in patterns assumed by behavioral sufficient statistic models (a la Chetty), and with substantial variation across people. B-counts are stable within-consumer over time, and that stability helps to address measurement error when using B-counts to model the relationship between biases, decision utility, and experienced utility. Conditional on classical inputs—risk aversion and patience, life-cycle factors and other demographics, cognitive and non-cognitive skills, and financial resources—B-counts strongly negatively correlate with both objective and subjective aspects of experienced utility. The results hold in much lower-dimensional models employing “Sparsity B-counts” based on bias subsets (a la Gabaix) and/or fewer covariates, illuminating lower-cost ways to use behavioral sufficient statistics to help capture the combined influence of multiple behavioral biases for a wide range of research questions and applications.
Victor Stango
Jonathan Zinman
2019-02
Trend Growth Shocks and Asset Prices
http://d.repec.org/n?u=RePEc:bok:wpaper:1904&r=upt
This paper addresses the link between shocks to productivity trend growth and long-run consumption risk in a production economy model with recursive utility. Quantifying trend growth shocks, I find that persistent fluctuations in trend growth are the key driver of sizable long-run consumption risk. I compare this result to two conventional assumptions on a productivity process: 1) a deterministic trend with a cycle and 2) a random walk with drift. Persistent trend growth shocks generate larger long-run consumption risk than both highly persistent cycle shocks and random walk shocks. As a result, agents in the face of the trend growth shocks tend to save more and demand a higher equity premium. In addition, fluctuations in aggregate productivity growth is largely attributable to movements in trend growth.
Nam Gang Lee
Long-run consumption risk, stochastic trend growth, equity premium, production economy, exact initial Kalman filter
2019-01-25
Fully Closed: Individual Responses to Realized Gains and Losses
http://d.repec.org/n?u=RePEc:nbr:nberwo:25542&r=upt
We use transaction-level data of portfolio trades and holdings linked to checking, savings, and settlement account transactions and balances to explore how individuals respond to realized capital gains and losses. We exploit plausibly exogenous sales due to mutual fund liquidations for identification. Specifically, we estimate the marginal propensity to reinvest out of one dollar received from a forced liquidation, when the investor either achieved a gain or a loss relative to his or her initial investment. Theoretically, if individuals held optimized portfolios, the marginal propensity to reinvest out of forced sales should be 100%. Individuals should just reinvest all of their liquidity immediately into a fund with similar characteristics. Empirically, individuals reinvest 83% on average if the forced sale resulted in a gain, but only 40% in the event of a loss. If individuals do not reinvest, they keep a share of their newly found liquidity in cash, save it, or consume it. Such differential treatment of gains and losses is inconsistent with active rebalancing or tax considerations, but consistent with mental accounting and the idea that individuals treat realized losses differently than paper losses. We thus provide evidence for realization utility and effects (Barberis and Xiong, 2012; Imas, 2016) and that individuals do not appear to learn rationally from experiences in the stock market (Malmendier and Nagel, 2011; Koudijs and Voth, 2016).
Steffen Meyer
Michaela Pagel
2019-02
Revealed price preference: theory and empirical analysis
http://d.repec.org/n?u=RePEc:ifs:cemmap:57/18&r=upt
With the aim of determining the welfare implications of price change in consumption data, we introduce a revealed preference relation over prices. We show that an absence of cycles in this preference relation characterizes a model of demand where consumers trade-off the utility of consumption against the disutility of expenditure. This model is appropriate whenever a consumer’s demand over a strict subset of all available goods is being analyzed. For the random utility extension of the model, we devise nonparametric statistical procedures for testing and welfare comparisons. The latter requires the development of novel tests of linear hypotheses for partially identified parameters. In doing so, we provide new algorithms for the calculation and statistical inference in nonparametric counterfactual analysis for a general partially identified model. Our applications on national household expenditure data provide support for the model and yield informative bounds concerning welfare rankings across different prices.
Rahul Deb
Yuichi Kitamura
John Quah
Jorg Stoye
2018-10-01
Intuitive Mathematical Economics Series. Constrained Maximization and the Method of Lagrange Multipliers
http://d.repec.org/n?u=RePEc:cem:doctra:680&r=upt
A fundamental assumption in most of economic modeling is that people maximize their utility subject to a budget constraint. This, as well as many other economic problems, math- ematically translate into problems of maximization with constraints. A powerful and widely used method to tackle some of these problems is the method of Lagrange multipliers. Yet, the exposition of such method in standard textbooks is rather formal and utilitarian. In this paper we try to present it emphasising the fundamental intuitions behind the method.
Sergio A. Pernice
Maximization with constraints, Lagrange multipliers.
2018-12
The relation between degrees of belief and binary beliefs: A general impossibility theorem
http://d.repec.org/n?u=RePEc:hal:cesptp:halshs-01999527&r=upt
Agents are often assumed to have degrees of belief ("credences") and also binary beliefs ("beliefs simpliciter"). How are these related to each other? A much-discussed answer asserts that it is rational to believe a proposition if and only if one has a high enough degree of belief in it. But this answer runs into the "lottery paradox": the set of believed propositions may violate the key rationality conditions of consistency and deductive closure. In earlier work, we showed that this problem generalizes: there exists no local function from degrees of belief to binary beliefs that satisfies some minimal conditions of rationality and non-triviality. "Locality" means that the binary belief in each proposition depends only on the degree of belief in that proposition, not on the degrees of belief in others. One might think that the impossibility can be avoided by dropping the assumption that binary beliefs are a function of degrees of belief. We prove that, even if we drop the "functionality" restriction, there still exists no local relation between degrees of belief and binary beliefs that satisfies some minimal conditions. Thus functionality is not the source of the impossibility; its source is the condition of locality. If there is any non-trivial relation between degrees of belief and binary beliefs at all, it must be a "holistic" one. We explore several concrete forms this "holistic" relation could take.
Franz Dietrich
Christian List
binary beliefs (yes/no),subjective probabilities,construction of binary beliefs from subjective probabilities,impossibility theorem,croyances binaires (oui/non),probabilités subjectives,construction de croyances binaires à partir des probabilités subjectives,théorème d'impossibilité
2019-01
Social Shock Sharing and Stochastic Dominance
http://d.repec.org/n?u=RePEc:hal:wpaper:halshs-02005735&r=upt
Since the seminal paper of Atkinson and Bourguignon (1982), little decisive progress has been achieved in developing empirically efficient stochastic dominance criteria for multidimensional social welfare analysis. By proposing new axioms of 'Social Shock Sharing', this paper provides new intuitive justifications to imposing sign restrictions on partial derivatives of individual von Neumann-Morgenstern utility functions. These new breakthrough findings are exploited to derive necessary and sufficient stochastic dominance criteria for multidimensional social welfare comparisons, up to the sixth order, at least. Equivalent results are derived in terms of multidimensional poverty conditions. Empirically powerful discriminatory criteria are obtained by combining all social shock sharing axioms up to some high order and by deriving a dimension reduction property. An application to Egypt at the beginning of the XXIst century demonstrates the practical substantial gain in discriminating power of the approach by revealing a unambiguous continual improvement in bivariate income-education social welfare over the studied period.
Christophe Muller
multidimensional welfare,stochastic dominance,temperance,risk sharing
2019-01
Survival pessimism and the demand for annuities
http://d.repec.org/n?u=RePEc:ifs:ifsewp:19/02&r=upt
The "annuity puzzle" refers to the fact that annuities are rarely purchased despite the longevity insurance they provide. Most explanations for this puzzle assume that individuals have accurate expectations about their future survival. We provide evidence that individuals mis-perceive their mortality risk, and study the demand for annuities in a setting where annuities are priced by insurers on the basis of objectively-measured survival probabilities but in which individuals make purchasing decisions based on their own subjective survival probabilities. Subjective expectations have the capacity to explain signi cant rates of non-annuitization, yielding a quantitatively important explanation for the annuities puzzle.
Cormac O'Dea
David Sturrock
Annuity Puzzle, Subjective Expectations, Survival Probabilities
2019-01-17