Shiller nuevamente nos ofrece un interesante comentario sobre esta fascinante nueva área de la economía: la Neuro-Economía y sobre la cual ya he comentado en le pasado en estos posts
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En esta columna, Shiller habla de una revolución
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En esta columna, Shiller habla de una revolución
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...Much of modern economic and financial theory is based on the assumption that people are rational, and thus that they systematically maximize their own happiness, or as economists call it, their “utility.” When Samuelson took on the subject in his 1947 book, he did not look into the brain, but relied instead on “revealed preference.” People’s objectives are revealed only by observing their economic activities. Under Samuelson’s guidance, generations of economists have based their research not on any physical structure underlying thought and behavior, but only on the assumption of rationality.
As a result, Glimcher is skeptical of prevailing economic theory, and is seeking a physical basis for it in the brain. He wants to transform “soft” utility theory into “hard” utility theory by discovering the brain mechanisms that underlie it.
In particular, Glimcher wants to identify brain structures that process key elements of utility theory when people face uncertainty: “(1) subjective value, (2) probability, (3) the product of subjective value and probability (expected subjective value), and (4) a neuro-computational mechanism that selects the element from the choice set that has the highest ‘expected subjective value’…”
...Another direction that excites neuroscientists is how the brain deals with ambiguous situations, when probabilities are not known, and when other highly relevant information is not available. It has already been discovered that the brain regions used to deal with problems when probabilities are clear are different from those used when probabilities are unknown. This research might help us to understand how people handle uncertainty and risk in, say, financial markets at a time of crisis.
John Maynard Keynes thought that most economic decision-making occurs in ambiguous situations in which probabilities are not known. He concluded that much of our business cycle is driven by fluctuations in “animal spirits,” something in the mind – and not understood by economists....
...Much of modern economic and financial theory is based on the assumption that people are rational, and thus that they systematically maximize their own happiness, or as economists call it, their “utility.” When Samuelson took on the subject in his 1947 book, he did not look into the brain, but relied instead on “revealed preference.” People’s objectives are revealed only by observing their economic activities. Under Samuelson’s guidance, generations of economists have based their research not on any physical structure underlying thought and behavior, but only on the assumption of rationality.
As a result, Glimcher is skeptical of prevailing economic theory, and is seeking a physical basis for it in the brain. He wants to transform “soft” utility theory into “hard” utility theory by discovering the brain mechanisms that underlie it.
In particular, Glimcher wants to identify brain structures that process key elements of utility theory when people face uncertainty: “(1) subjective value, (2) probability, (3) the product of subjective value and probability (expected subjective value), and (4) a neuro-computational mechanism that selects the element from the choice set that has the highest ‘expected subjective value’…”
...Another direction that excites neuroscientists is how the brain deals with ambiguous situations, when probabilities are not known, and when other highly relevant information is not available. It has already been discovered that the brain regions used to deal with problems when probabilities are clear are different from those used when probabilities are unknown. This research might help us to understand how people handle uncertainty and risk in, say, financial markets at a time of crisis.
John Maynard Keynes thought that most economic decision-making occurs in ambiguous situations in which probabilities are not known. He concluded that much of our business cycle is driven by fluctuations in “animal spirits,” something in the mind – and not understood by economists....
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