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Inequity aversion

Inequity aversion is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Inequity aversion rather than just read about it. In short: Inequity aversion (IA) is the preference for fairness and resistance to incidental inequalities. The social sciences that study inequity aversion include sociology, economics, psychology, anthropology, and ethology.

Key takeaways

  • Inequity aversion belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Inequity aversion to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Inequity aversion from memory before moving on to harder problems.

Reference excerpt

Inequity aversion (IA) is the preference for fairness and resistance to incidental inequalities. The social sciences that study inequity aversion include sociology, economics, psychology, anthropology, and ethology. Researchers on inequity aversion aim to explain behaviors that are not purely driven by self-interests but fairness considerations. In some literature, the terminology inequality aversion was used in the places of inequity aversion. The discourses in social studies argue that "inequality" pertains to the gap between the distribution of resources, while "inequity" pertains to the fundamental and institutional unfairness. Therefore, the choice between using inequity or inequality aversion may depend on the specific context.

Human studies Inequity aversion research on humans mostly occurs in the discipline of economics though it is also studied in sociology. Research on inequity aversion began in 1978 when studies suggested that humans are sensitive to inequities in favor of as well as those against them, and that some people attempt overcompensation when they feel "guilty" or unhappy to have received an undeserved reward. A more recent definition of inequity aversion (resistance to inequitable outcomes) was developed in 1999 by Fehr and Schmidt. They postulated that people make decisions so as to minimize inequity in outcomes. Specifically, consider a setting with individuals {1,2,...,n} who receive pecuniary outcomes xi. Then the utility to person i would be given by

U i ( { x 1 , . . . , x n } ) = x i − α i n − 1 × ∑ j ≠ i max ( x j − x i , 0 ) − β i n − 1 × ∑ j ≠ i max ( x i − x j , 0 ) , {\displaystyle U_{i}(\{x_{1},...,x_{n}\})=x_{i}-{\frac {\alpha _{i}}{n-1}}\times \sum _{j\neq i}{\max(x_{j}-x_{i},0)}-{\frac {\beta _{i}}{n-1}}\times \sum _{j\neq i}{\max(x_{i}-x_{j},0)},}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Inequity aversion

Start with the simplest possible case. Write down what Inequity aversion claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Inequity aversion before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Inequity aversion ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Inequity aversion

In research
Inequity aversion appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Inequity aversion in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Inequity aversion is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cognitive biases, Egalitarianism, Game theory, so understanding it makes those chapters shorter.
In everyday life
Look for Inequity aversion outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Inequity aversion in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Inequity aversion means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Inequity aversion out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Inequity aversion in simple terms?

Inequity aversion (IA) is the preference for fairness and resistance to incidental inequalities. The social sciences that study inequity aversion include sociology, economics, psychology, anthropology, and ethology.

Why does Inequity aversion matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Inequity aversion?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Inequity aversion.

Tags

  • Cognitive biases
  • Egalitarianism
  • Game theory
  • Moral psychology

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