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Articles 1 - 4 of 4
Full-Text Articles in Behavioral Economics
Behavioral Economics: Origins, Methodology And “Work Tools”, Daniel A. Monroy
Behavioral Economics: Origins, Methodology And “Work Tools”, Daniel A. Monroy
Daniel A Monroy C
This paper has two main objectives: (i) The main objective is to propose a theoretical and methodological delimitation of the Behavioral Economics approach. In this point, the paper argues that such delimitation involves a permanent tension with the hypotheses of rational choice theory of human behavior. (ii) The secondary objective of the paper focuses on the methodology submitted, for this, we present a couple of case studies in order to explain and test such methodology. Furthermore, the case studies will allow us to determinate some work tools of the Behavioral Economics approach.
Voice Without Say: Why Capital-Managed Firms Aren’T (Genuinely) Participatory, Justin Schwartz
Voice Without Say: Why Capital-Managed Firms Aren’T (Genuinely) Participatory, Justin Schwartz
Justin Schwartz
Why are most capitalist enterprises of any size organized as authoritarian bureaucracies rather than incorporating genuine employee participation that would give the workers real authority? Even firms with employee participation programs leave virtually all decision-making power in the hands of management. The standard answer is that hierarchy is more economically efficient than any sort of genuine participation, so that participatory firms would be less productive and lose out to more traditional competitors. This answer is indefensible. After surveying the history, legal status, and varieties of employee participation, I examine and reject as question-begging the argument that the rarity of genuine …
Cuando El Altruismo Hace Daño, Mario Šilar
Cuando El Altruismo Hace Daño, Mario Šilar
Mario Šilar
The article reviews Barbara Oakley's concept of Pathological Altruism and analyzes its implications in moral and social contexts.
Modelling Biased Judgement With Weighted Updating, Jesse A. Zinn
Modelling Biased Judgement With Weighted Updating, Jesse A. Zinn
Jesse A Zinn
The weighted updating model is a generalization of Bayesian updating that allows for biased beliefs by weighting the functions that constitute Bayes’ rule with real exponents. This paper shows that weighting a distribution affects the information entropy of the resulting distribution, suggesting that weighted updating can model biases in which individuals mistake the information content of data. The paper augments the base model in two ways, allowing it to account for additional biases. The first expansion involves discrimination between data. The second allows the weights to vary over time. The paper also presents a set of sufficient conditions for the …