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相关概念视频

The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the $2,000...
Hindsight Biases01:12

Hindsight Biases

Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Bias01:22

Bias

Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Motivational Bias01:25

Motivational Bias

Cognitive bias results from limitations in thinking and information processing, leading to systematic errors in judgment. Conversely, motivational bias stems from personal desires or emotions, causing distortions in perception to align with self-interest. Motivational bias influences how individuals perceive and attribute causes to events, often shaped by personal needs, goals, and self-esteem preservation. This bias can distort judgment, leading to inaccurate assessments of success, failure,...

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相关实验视频

Updated: Jul 8, 2026

Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making
11:51

Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making

Published on: March 2, 2011

经济学诺贝尔奖:应对偏见和离散的选择

C Seife

    Science (New York, N.Y.)
    |September 11, 2007
    PubMed
    概括

    两位研究人员因开发新的微观经济工具而获得诺贝尔经济学奖. 他们的工作提供了分析不完美的数据和理解个人经济行为的方法,特别是关于选择偏差和离散选择的方法.

    科学领域:

    • 经济学 经济学 经济学
    • 微观经济学 微观经济学
    • 计量经济学 计量经济学

    背景情况:

    • 个人经济行为的研究往往涉及不完美的数据.
    • 从这些数据中得出结论,带来了重大的方法学挑战.

    研究的目的:

    • 认可微观经济工具的进步,用于分析不完美的数据.
    • 突出处理选择偏差和量化离散选择的新方法.

    主要方法:

    • 詹姆斯·赫克曼 (James Heckman) 开发了一些方法来解决经济数据中选择偏差的问题.
    • 丹尼尔·麦克法登 (Daniel McFadden) 创建了用于量化离散个体选择的技术.

    主要成果:

    • 微观经济学领域提供了新的分析工具.
    • 提高了从具有固有的缺陷的数据中得出结论的能力.

    结论:

    • 获奖的研究显著提升了微观经济学中的方法.
    • 这些进步为理解经济行为提供了强大的框架,使用有限或有偏见的数据.

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