Kahneman And Amos Tversky: Article Analysis

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As a recipient of many prestigious awards, including a Nobel Prize, psychologist Daniel Kahneman has worked rigorously for nearly 45 years to advance the way in which we understand human cognitive processes. Kahneman and his long time colleague, Amos Tversky, began working together in the 1970s and almost immediately began making an impact within the field of behavioral economics. These contributions centered around the notion of human irrationality, or the basis we subconsciously use to make decisions each day. Beginning with their discovery of anchoring effect, Kahneman and Tversky went on to uncover many intuitive theories that helped evolve the field of behavioral economics into what it is today. Of equal importance, Kahneman produced …show more content…

One of the first published works on this topic is titled, Availability: A Heuristic for Judging Frequency and Probability. Written by Kahneman and his long-time colleague Amos Tversky, this article highlights their initial conclusions about errors in our decision making. This paper explored a judgmental heuristic where a person assesses the frequency of classes or probability of events by way of availability (Tversky & Kahneman, 1973). In other words, how easy relevant instances to come to mind. They suggested a large contributor is our reliance on the availability heuristic, which is judging a situation based off of examples from a similar situation (Tversky & Kahneman, 1973). For example, assume you enjoy shopping at Costco and you have gone to the same Costco once a week for the last 10 years. Therefore, you are extremely familiar with the general layout of that specific store. However, you are on vacation and visit the Costco in your vacation spot for the first time. You arrive and, in a search for produce, you walk to the location it would be in the store you are familiar with. In the new store it may or may not be in the same …show more content…

In this scenario, assume one is not satisfied with their home insurance options. They hear about a new probabilistic insurance option where they pay half the regular premium. The catch is if damage occurs to the house on an odd day of the month then they would pay the other half of the premium, but the losses would be covered. On the other hand, if the damage were to occur on an even day of the month, then they would not have to pay the other half of the premium, but their losses would not be covered (Kahneman & Tversky, 1979). Predictably, most people, 80 out of 95, would not choose the probability insurance option, as it is rather unappealing (Kahneman & Tversky, 1979). That being said, expected utility would imply the probabilistic insurance option is the superior option, thus demonstrating issues and concerns with its

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