Microeconomics: The Power of Markets

Microeconomics: The Power of Markets

课程
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英语
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20 时
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来源
  • 来自www.coursera.org
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  • 5 序列
  • 等级 介绍
  • 字幕在 Mongolian

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课程详情

教学大纲

  • Week 1 - The Concept of Scarcity
    Where do markets come from? We will start with understanding the constraint of scarcity that we face and the concept of opportunity cost that reflects the true cost of any decision we make. We will learn to model scarcity using the Production Possibilities Fro...
  • Week 2 - Specialization & Trade
    Trade allows us to achieve the unattainable- we can consume more than we can produce on our own. We will introduce the concept of Comparative Advantage and discuss how gains from specialization allow us to use our resources efficiently. We will apply these con...
  • Week 3 - Supply and Demand
    We will introduce the central model of Supply & Demand. This will allow you to communicate with other economists and finally understand those business pages and market updates. We will distinguish between a movement along and a movement of the supply & demand ...
  • Week 4 - Understanding Markets: Elasticities, Market Surplus, Efficiency, and Equity
    There is a lot of terminology this week. We will introduce of the concept of elasticity of demand that measures the responsiveness of quantity demanded to a change in the price of a good. We will explore the relationship between change in price and revenue or ...
  • Week 5 - When Government Intervenes
    In week four we learnt that the markets maximize the surplus that can be generated. So what happens if the government steps in and intervenes in the market? This week we will analyze price floors and ceilings, taxes and subsidies and learn how the best intenti...

先决条件

没有。

讲师

Rebecca Stein
Senior Lecturer
Economics

编辑

宾夕法尼亚大学(俗称宾大)成立于 1740 年,是一所位于美国宾夕法尼亚州费城的私立大学。作为常春藤联盟的成员,宾大是美国第四古老的高等学府,也是美国第一所同时提供本科和研究生学位的大学。

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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