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MAXIMIZING, ACTION, AND MARKET ADJUSTMENT: AN INQUIRY INTO THE THEORY OF ECONOMIC DISEQUILIBRIUM.

机译:最大化,行动和市场调整:对经济不平衡理论的质疑。

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摘要

During the past decade, economists have devoted much effort to providing a microeconomic foundation for their macroeconomics. One such effort was an unpublished paper by Axel Leijonhufvud entitled, "Varieties of Price Theory: Which Microfoundations for Macroeconomics?"; The question is pertinent; all microtheory is not alike. In his paper Leijonhufvud contrasted the price adjustment of Walras with the quantity adjustment of Marshall. The focus of my inquiry has been somewhat different. I compare Walrasian stability analysis, Austrian process analysis, and search theory, with a special emphasis on the fundamentals of each approach. In other words, this dissertation is about the foundations of our microfoundations.; I chose the three approaches, in part, because they rest on three different bases. The basis of stability analysis is maximizing determinate functions; the excess demand functions by which the economy is assumed to adjust are derived from agents maximizing subject to constraints. The basis of process analysis is human action; agents are presumed to formulate and carry out plans, and the theory explores what happens when these plans are incompatible. The basis of search theory is maximizing probability functions; agents are presumed to face a probability distribution and to incur costs to search over the elements of the distribution. Agents then maximize the net benefits of searching.; Chapter one gives an overview of each approach. It describes the problem the economists in each tradition were trying to solve and the means they adopted.; Chapter two compares maximizing determinate functions with human action as a basis for disequilibrium theory. The main comparison is between what agents have to know to maximize and what they have to know to act. The main conclusion is that maximizing requires far more knowledge than does acting.; Chapter three compares maximizing determinate functions with maximizing probability functions. Again, the focus is on knowledge, and the main conclusion is that probability functions do permit agents to be less informed and less certain than do determinate functions, but not much less. Probability functions do not permit nearly as much ignorance and uncertainty as the concept of action does.; The fourth chapter applies process analysis to price and quantity adjustment. In a simplified market setting, it shows how agents will exercise judgment and alertness to formulate their plans, and to change those plans when they are incompatible with the plans of others. The result of these plan changes is the market process.
机译:在过去的十年中,经济学家付出了巨大的努力为他们的宏观经济学提供微观经济学基础。其中一项工作是Axel Leijonhufvud的未发表论文,题为“价格理论的多样性:宏观经济学的微观基础是什么?”。这个问题是有关的。所有微观理论都不尽相同。 Leijonhufvud在他的论文中将Walras的价格调整与Marshall的数量调整进行了对比。我的询问重点有所不同。我比较了Walrasian稳定性分析,奥地利过程分析和搜索理论,并特别强调了每种方法的基础。换句话说,本文是关于我们微观基础的基础。我之所以选择这三种方法,部分是因为它们基于三个不同的基础。稳定性分析的基础是最大化确定的功能;假定经济要调整的超额需求函数来自受约束最大化的代理。过程分析的基础是人为行动;假定代理人制定和执行计划,并且该理论探索了当这些计划不兼容时会发生什么。搜索理论的基础是最大化概率函数。假定代理人要面对概率分布并招致搜寻分布元素的费用。然后,代理商将搜索的净收益最大化。第一章概述了每种方法。它描述了每种传统经济学家试图解决的问题以及他们采用的手段。第二章比较了最大化确定性功能与人类行为作为不平衡理论的基础。主要的比较是代理商必须了解的才能最大化和他们需要知道的才能采取行动。主要结论是,最大化需要比行动更多的知识。第三章比较了最大化确定函数和最大化概率函数。再次,重点是知识,主要结论是,概率函数的确能使代理人比确定的函数更不了解信息和确定性,但不得多。概率函数所允许的无知和不确定性几乎不像行动概念那样。第四章将过程分析应用于价格和数量调整。在简化的市场环境中,它显示了代理商将如何运用判断力和机敏性来制定他们的计划,并在与其他计划不兼容时更改这些计划。这些计划变更的结果就是市场过程。

著录项

  • 作者

    HIGH, JACK CARSON, JR.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Economics Theory.
  • 学位 Ph.D.
  • 年度 1980
  • 页码 199 p.
  • 总页数 199
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 经济学;
  • 关键词

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