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Coase theorem. In law and economics, the Coase theorem ( / ˈkoʊs /) describes the economic efficiency of an economic allocation or outcome in the presence of externalities. The theorem is significant because, if true, the conclusion is that it is possible for private individuals to make choices that can solve the problem of market externalities.
The problems of economic growth have been discussed by numerous growth models, including the Harrod-Domar model, the neoclassical growth models of Solow and Swan, and the Cambridge growth models of Kaldor and Joan Robinson. This part of the economic problem is studied in the economies of development. See also. Full employment; Post-scarcity
A heuristic (/ h j ʊ ˈ r ɪ s t ɪ k /; from Ancient Greek εὑρίσκω (heurískō) 'method of discovery', or heuristic technique (problem solving, mental shortcut, rule of thumb) is any approach to problem solving that employs a pragmatic method that is not fully optimized, perfected, or rationalized, but is nevertheless "good enough" as an approximation or attribute substitution.
In essence, the problem-solver estimates the benefit delivered by each action, then selects a number of the most effective actions that deliver a total benefit reasonably close to the maximal possible one. Pareto analysis is a creative way of looking at causes of problems because it helps stimulate thinking and organize thoughts.
The economic calculation problem (sometimes abbreviated ECP) is a criticism of using central economic planning as a substitute for market-based allocation of the factors of production. It was first proposed by Ludwig von Mises in his 1920 article " Economic Calculation in the Socialist Commonwealth " and later expanded upon by Friedrich Hayek .
In economics, the Jevons paradox ( / ˈdʒɛvənz /; sometimes Jevons effect) occurs when technological progress increases the efficiency with which a resource is used (reducing the amount necessary for any one use), but the falling cost of use induces increases in demand enough that resource use is increased, rather than reduced.
A feasible solution that minimizes (or maximizes, if that is the goal) the objective function is called an optimal solution . In mathematics, conventional optimization problems are usually stated in terms of minimization. A local minimum x* is defined as an element for which there exists some δ > 0 such that.
Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks (e.g. how to turn on an appliance) to complex issues in business and technical fields. The former is an example of simple problem solving (SPS) addressing one issue ...