Have you ever wondered how economists understand the choices you make when you’re shopping? Why do you buy one product over another, or decide to save money instead of spending it? These questions lie at the heart of consumer behavior theory, and over time, economists have developed different ways to explain how we measure satisfaction from our purchases. Two major theories have shaped our understanding: the cardinal utility theory and the ordinal utility theory. Let’s explore how these approaches help us understand the complex world of consumer choice.

Table of Contents

What is cardinal utility theory?

Imagine you could assign a precise number to the satisfaction you get from eating a slice of pizza or buying a new pair of shoes. That’s the basic idea behind cardinal utility theory, which emerged in the late 19th century. This classical approach suggests that utility-the satisfaction we derive from consuming goods and services-can be measured numerically, much like we measure distance or weight.

Think of it this way: if eating an apple gives you 10 units of satisfaction (called “utils”), and eating an orange gives you 20 utils, you can not only say you prefer oranges to apples, but you can also quantify that you enjoy oranges exactly twice as much. Early economists like Jeremy Bentham, William Stanley Jevons, and Alfred Marshall believed this numerical measurement would give economics a more scientific foundation.

The building blocks of cardinal utility

Cardinal utility theory rests on several key assumptions that shape how it explains consumer behavior. Understanding these foundations helps us see both the theory’s strengths and its limitations.

Consumer rationality and measurability

The first assumption is straightforward: consumers are rational beings who aim to maximize their utility given their limited income. But more controversially, the theory assumes that utility is measurable and can be expressed in monetary terms-that is, the amount of money you’re willing to pay for something reflects the utility it provides.

The principle that goods are good

Cardinal utility theory operates on the principle that “more is better.” In economic terms, this means that goods have positive marginal utility-each additional unit of a good increases your total satisfaction, at least up to a certain point. This seems intuitive: most of us would prefer having two chocolate bars available rather than one, assuming we haven’t eaten so many that we’re sick of chocolate.

The law of diminishing marginal utility

Here’s where things get interesting. While more might be better, each additional unit provides less satisfaction than the one before it. This is the law of diminishing marginal utility, and it’s something we experience constantly in daily life.

Consider drinking water on a hot day. The first glass is incredibly satisfying-it quenches your thirst and brings enormous relief. The second glass is still pleasant but not quite as satisfying as the first. By the fourth or fifth glass, you might not want any more water at all. Your total satisfaction has increased with each glass, but the additional satisfaction from each subsequent glass has decreased. Eventually, drinking more water might even make you uncomfortable, giving you negative marginal utility.

The constant marginal utility of money

Perhaps the most debated assumption is that the marginal utility of money remains constant. If money is to serve as a measuring stick for utility, its own utility cannot change as you become richer or poorer. However, critics point out this is unrealistic-a hundred rupees means much more to someone earning ten thousand per month than to someone earning a million. As your income changes, so does the utility you derive from an additional rupee.

How consumers reach equilibrium under cardinal utility

In cardinal utility theory, a consumer reaches equilibrium-the point where they’ve maximized their satisfaction-when they’ve allocated their money in a very specific way. For a single good, this occurs when the marginal utility of that good equals its price. In other words, the additional satisfaction from the last unit purchased should equal what you paid for it.

When you’re choosing between multiple goods, the equilibrium condition becomes more nuanced. You’ve optimized your spending when the marginal utility per rupee spent is equal across all goods. If you’re getting more satisfaction per rupee from buying books than from buying coffee, you should buy more books and less coffee until the ratio equalizes. This is called the equi-marginal principle.

Imagine you have a limited budget to spend on snacks and entertainment. If that last samosa gave you 30 utils and cost 30 rupees, while that last movie ticket gave you 150 utils and cost 150 rupees, you’re in equilibrium-both provided 1 util per rupee spent. If the marginal utility per rupee differs between goods, you can increase your total satisfaction by reallocating your spending.

The shift to ordinal utility analysis

By the early 20th century, economists began to question whether utility could really be measured with cardinal numbers. How can you truly say that one experience gives you exactly twice the satisfaction of another? Can we really quantify the difference in satisfaction between eating pizza and watching a movie? These doubts led to the development of ordinal utility theory.

Ordinal utility theory, advanced by economists like Vilfredo Pareto, John Hicks, and Roy Allen in the 1930s, takes a more modest approach. It argues that while consumers cannot measure utility in absolute numbers, they can rank their preferences. You can say you prefer bundle A to bundle B without having to specify by how much.

The indifference curve approach

Ordinal utility theory gave birth to the indifference curve approach, which has become the dominant framework in modern microeconomics. An indifference curve shows all the different combinations of two goods that provide a consumer with the same level of satisfaction. Because all points on the curve yield equal satisfaction, the consumer is “indifferent” among them.

For example, you might be equally happy with a combination of three burgers and one soft drink, or two burgers and two soft drinks, or one burger and three soft drinks. These combinations would all lie on the same indifference curve. Moving to a higher indifference curve means greater satisfaction, but the theory doesn’t try to quantify how much greater-it simply acknowledges that higher is better.

The beauty of this approach is that it requires fewer assumptions and avoids the problematic claim that utility can be measured like temperature or weight. It’s enough to know your preferences are consistent and transitive-if you prefer A to B and B to C, then you should prefer A to C.

Revealed preference approach

Another framework within ordinal utility theory is the revealed preference approach, developed by economist Paul Samuelson. This clever method observes actual consumer choices in the market to infer their preferences. If you choose bundle A when you could have afforded bundle B, you’ve “revealed” that you prefer A to B. This approach is particularly useful because it relies on observable behavior rather than trying to peer inside consumers’ minds to measure satisfaction.

Why the transition mattered

The shift from cardinal to ordinal utility wasn’t just an academic exercise-it represented a fundamental change in how economists approach consumer behavior. Ordinal utility theory is more realistic because it doesn’t require us to believe that satisfaction can be measured with mathematical precision. It acknowledges that utility is subjective and personal, while still providing powerful tools to analyze and predict consumer choices.

However, cardinal utility hasn’t been entirely abandoned. It still appears in certain areas of economics, particularly in welfare economics, where we need to compare utility across individuals, and in analyzing choices under uncertainty. The debate between these two approaches highlights an ongoing tension in economics between mathematical precision and realistic assumptions about human psychology.

Both theories ultimately try to answer the same fundamental questions: How do consumers make choices? What drives demand for goods and services? While cardinal utility theory sought to quantify satisfaction with precision, ordinal utility theory recognized that rankings and preferences might be all we need-and all we can reliably observe-to understand consumer behavior in markets.

What do you think? Do you believe satisfaction from consumption can truly be measured in numerical units, or is it too subjective and personal? Can you think of a recent purchase where you experienced diminishing marginal utility-where each additional unit brought less satisfaction than the previous one?

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References
  1. https://en.wikipedia.org/wiki/Cardinal_utility
  2. https://www.economicsdiscussion.net/theory-of-demand/the-cardinal-utility-theory-explained-with-diagram/4910
  3. https://en.wikipedia.org/wiki/Marginal_utility
  4. https://www.economicsdiscussion.net/cardinal-utility-analysis/indifference-curve-approach-ordinal-utility-nations-of-preference-and-assumptions/936

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Microeconomic Analysis

1 Theory of Consumer Behaviour- Basic Themes

  1. The Basic Themes
  2. Consumer Choice Concerning Utility
  3. Introduction to Demand Analysis
  4. Ordinal Theory: Indifference Curve Approach
  5. Concepts of Income and Substitution Effects
  6. Slutsky’s Theorem
  7. Compensated Demand Curve

2 Theory of Demand

  1. Preference and Utility
  2. Indifference Curve and Budget Set
  3. Utility Maximisation Problem (UMP)
  4. Expenditure Minimisation Problem (EMP)
  5. Decomposition of Price Effect
  6. Duality Relations

3 Theory of Demand- Some Recent Developments

  1. Recent Developments in Demand Analysis: Linear Expenditure Systems
  2. Theory of Consumer Surplus
  3. Theory of Inter-Temporal Consumption
  4. Elementary Theory of Price Formation: Demand-Supply Analysis
  5. Cobweb Model
  6. Lagged Adjustment in Interrelated Markets

4 Theory of Production

  1. Short Period Analysis
  2. Returns to a Factor
  3. Long Period Analysis
  4. Iso-quant
  5. Elasticity of Substitution
  6. Returns to Scale
  7. Homogeneous Production Function

5 Theory of Cost

  1. Concept of Short-Run and Long-Run
  2. Traditional Theory of Cost
  3. Economics of Scale
  4. Modern Theory of Cost

6 Production Economics

  1. Production Functions
  2. Technical Progress
  3. Cost Functions
  4. Profit Maximisation
  5. Cost Minimisation and Profit

7 Perfect Competition

  1. Perfect Competition
  2. Short-run Equilibrium of Firm
  3. Supply Curve of Firm and Industry
  4. Short-run Equilibrium of Industry
  5. Long-run Equilibrium of Firm and Industry

8 Monopoly

  1. Definition of a Monopoly
  2. Factors Behind Generation of Monopoly
  3. Demand and Revenue Functions of a Monopolist
  4. Cost Function in Monopoly
  5. Equilibrium of the Monopolist
  6. Price Discrimination
  7. Welfare Aspects of Monopoly
  8. Monopoly Control and Regulations
  9. Multi-plant Monopolist
  10. Bilateral Monopolist

9 ̆Monopolistic Competition

  1. Features of Monopolistic Competition
  2. General Approach to Equilibrium
  3. Chamberlain’s Approach to Equilibrium
  4. Selling Costs
  5. Excess Capacity under Monopolistic Competition
  6. Criticism of Monopolistic Competition

10 Oligopoly

  1. Oligopoly: Homogenous Product
  2. Oligopoly: Differential Products
  3. Oligopsony

11 General Equilibrium- Pure Exchange Model

  1. A Pure Exchange Economy
  2. Walrasian Equilibrium
  3. Brouwer’s Fixed Point Theorem
  4. Mechanism for Attaining Walrasian Equilibrium
  5. Competitive Equilibrium and Pareto Efficiency

12 General Equilibrium with Production

  1. Set Up of the Problem
  2. Edgeworth Box for Production
  3. Production Possibility Frontier (PPF)
  4. Consumption Optimisation
  5. Product-mix Efficiency and the Optimum
  6. General Equilibrium Price Setting and Efficiency
  7. Link between Factor and Goods Markets
  8. Link between Goods and Factor Prices

13 Pigovian vs Paretian Approach

  1. Pigovian Approach
  2. Pareto Optimal Conditions
  3. Two Fundamental Welfare Theorems

14 Social Welfare Function

  1. Value Judgment
  2. Social Welfare Function
  3. Compensation Principle
  4. Kaldor-Hicks Criteria
  5. Scitovsky Reversals and the Double Criteria
  6. William Gorman’s Intransitivity Problem
  7. Samuelson’s Criteria
  8. An Appraisal

15 Imperfect Market Externality and Public Goods

  1. Inability to Obtain Optimum Welfare
  2. Externality
  3. Public Goods and Market Failure

16 Social Choice and Welfare

  1. Theory of Second Best
  2. Arrow’s Impossibility Theorem
  3. Rawls’ Theory of Justice
  4. Equity-Efficiency Trade-off

17 Choice in Uncertain Situations

  1. Behaviour Under Uncertainty: Some Observations
  2. Lotteries
  3. Expected Utility Theory
  4. vNM Expected Utility Theory
  5. Expected Utility Theory and Risk Aversion
  6. Risk Aversion and Insurance

18 Insurance Choice and Risk

  1. Reduction of Risk
  2. Problems in Insurance Markets
  3. Modelling Insurance Market with Adverse Selection

19 Economics of Information

  1. The Principal-Agent Framework
  2. Moral Hazard Problem
  3. Adverse Selection in Markets
  4. Hidden Information Modelling
  5. Efficiency Wage Model

20 Static Games of Complete Information

  1. Some Examples of Strategic Game
  2. Classifications of Games
  3. Rules of the Game
  4. Normal Form of Game under Complete Information
  5. Solution Concept under Dominant Strategy
  6. Solution Concept under Nash Equilibrium in Pure Strategy
  7. Mixed Strategy Nash Equilibrium

21 Static Games with Complete Information- Applications

  1. Game Theoretic Applications in Common Property Resources
  2. Best Response Function
  3. Quantity Competition and Price Competition
  4. War of Attrition
  5. Hotelling’s Location Game

22 Dynamic Games with Complete Information

  1. Extensive-form Representation of Dynamic Games
  2. Strategies in Extensive-form
  3. Dynamic Games of Complete and Perfect Information
  4. Backward Induction
  5. Strategies in Dynamic Games with Complete Information
  6. Subgames
  7. Subgame-Perfect Nash Equilibrium
  8. Application 1: Stackelberg Competition
  9. Application 2: Sequential Bargaining
  10. Dynamic Games of Imperfect Information
  11. Imperfect Information and Backward Induction
  12. Subgames with Imperfect Information
  13. Strategies with Imperfect Information
  14. Finding SPNE with Imperfect Information
  15. Repeated Games
  16. Two-Stage Repeated Games
  17. Finitely Repeated Games
  18. Infinitely Repeated Games
  19. Application 3: Collusion between Cournot Duopolists

23 Static Games of Incomplete Information (with Application to Auction)

  1. The Idea of Incomplete Information
  2. Beliefs
  3. Bayesian Games
  4. Application to Auctions

24 Dynamic Games with Incomplete Information- Perfect Bayesian Equilibrium

  1. Problem with SPE
  2. Requirements of Perfect Bayesian Equilibrium
  3. Beliefs
  4. Sequential Rationality
  5. Assessment and Perfect Equilibrium
  6. Weak Sequential Equilibrium
  7. Consistent Assessment Off-the-Path Equilibrium

25 Signaling Games and their Application

  1. Modeling Signaling Games
  2. A Second Approach to Equilibrium Analysis: Pooling and Separating Equilibria
  3. Application: Job Market Signaling

26 Refinements of Perfect Bayesian Equilibrium

  1. Sequential Equilibrium is not Stringent Enough
  2. Signaling Games
  3. The Intuitive Criterion
  4. The Intuitive Criterion with Two Types of Agents and only Two Responses
  5. The Divinity Criterion
  6. Spence’s Labour Market Signaling Game
  7. When Do We Need to Apply the D1-Criterion?