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A Conic Algorithm for the Group Minimization Problem
Simeone, Bruno - 1976
A new algorithm for the group minimization problem (GP) is proposed. The algorithm can be broadly described as follows …-known algorithm of Glover, and checked for non-negativity. The first non-negative point is an optimal solution of (GP). Advantages and … disadvantages of the algorithm are discussed; in particular, the implementation of the algorithm (which can be easily extended so as …
Persistent link: https://www.econbiz.de/10012478970
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Parameter Learning in General Equilibrium : The Asset Pricing Implications
Collin-Dufresne, Pierre - 2013
Parameter learning strongly amplifies the impact of macro shocks on marginal utility when the representative agent has a preference for early resolution of uncertainty. This occurs as rational belief updating generates subjective long-run consumption risks. We consider general equilibrium models...
Persistent link: https://www.econbiz.de/10012458957
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Learning Through Imitation : an Experiment
Agranov, Marina; Lopez-Moctezuma, Gabriel; Strack, Philipp - National Bureau of Economic Research - 2022
We compare how well agents aggregate information in two repeated social learning environments. In the first setting agents have access to a public data set. In the second they have access to the same data, and also to the past actions of others. Despite the fact that actions contain no...
Persistent link: https://www.econbiz.de/10013191057
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Human Decisions and Machine Predictions
Kleinberg, Jon - 2017
volume of data available. Yet comparing the algorithm to the judge proves complicated. First, the data are themselves … set of preferences than the single variable that the algorithm focuses on; for instance, judges may care about racial … well. In addition, by focusing the algorithm on predicting judges' decisions, rather than defendant behavior, we gain some …
Persistent link: https://www.econbiz.de/10012455502
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Consensus and Disagreement : Information Aggregation under (not so) Naive Learning
Banerjee, Abhijit V.; Compte, Olivier - National Bureau of Economic Research - 2022
We explore a model of non-Bayesian information aggregation in networks. Agents non-cooperatively choose among Friedkin-Johnsen type aggregation rules to maximize payoffs. The DeGroot rule is chosen in equilibrium if and only if there is noiseless information transmission...leading to consensus....
Persistent link: https://www.econbiz.de/10013190991
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Learning and Disagreement in an Uncertain World
Acemoglu, Daron - 2006
Most economic analyses presume that there are limited differences in the prior beliefs of individuals, as assumption most often justified by the argument that sufficient common experiences and observations will eliminate disagreements. We investigate this claim using a simple model of Bayesian...
Persistent link: https://www.econbiz.de/10012466013
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Social Learning and Coordination in High-Stakes Games : Evidence from Friend or Foe
Oberholzer-Gee, Felix - 2003
We analyze the behavior of game-show contestants who play a one-shot game called Friend or Foe. While it is a weakly dominant strategy not to cooperate, almost half the contestants on the show choose to play friend.' Remarkably, the behavior of contestants remains unchanged even when stakes are...
Persistent link: https://www.econbiz.de/10012468893
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An Adaptive Nonlinear Least Square Algorithm
Dennis, John E. - 1977
NL2SOL is a modular program for solving the nonlinear least-squares problem that incorporates a number of novel features. It maintains a secant approximation S to the second-order part of the least-squares Hessian and adaptively decides when to use this approximation. We have found it very...
Persistent link: https://www.econbiz.de/10012478936
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Robust Non-Linear Regression Using The Dogleg Algorithm
Welsch, Roy E. - 1975
number of possible approaches to these problems and develops a particular algorithm based on the work of Powell and Dennis …
Persistent link: https://www.econbiz.de/10012479050
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Discrimination In The Age Of Algorithms
Kleinberg, Jon - 2019
The law forbids discrimination. But the ambiguity of human decision-making often makes it extraordinarily hard for the legal system to know whether anyone has actually discriminated. To understand how algorithms affect discrimination, we must therefore also understand how they affect the problem...
Persistent link: https://www.econbiz.de/10012479502