Imagine you’re deciding between three lunch options: a burger, a salad, or pasta. You prefer the burger to the salad, the salad to the pasta, but somehow the pasta seems better than the burger when you compare them directly. Something doesn’t add up, right? This puzzling situation where preferences form a circle rather than a clear ranking is exactly what economist William Gorman identified in welfare economics-a problem that shook the foundations of how economists evaluate social welfare.

Table of Contents

The pursuit of a perfect welfare test

In the early twentieth century, welfare economists were searching for an objective way to determine whether economic policy changes would improve society’s wellbeing. The challenge was thorny: how do you compare situations where some people gain while others lose? Nicholas Kaldor and John Hicks proposed compensation criteria suggesting that if winners could theoretically compensate losers and still be better off, the change would increase social welfare.

But economist Tibor Scitovsky quickly spotted a fatal flaw in this approach. He demonstrated what became known as the Scitovsky Paradox: it was possible for allocation A to be deemed better than allocation B using the Kaldor-Hicks test, but once society moved to allocation B, the same test could prove that moving back to A was also an improvement. This created a logical impossibility where both forward and backward movements could simultaneously increase welfare.

To fix this contradiction, Scitovsky developed his double criterion, which required both that gainers could compensate losers in moving from state A to state B, and that losers could not bribe gainers to prevent the change. This seemed to solve the reversal problem. Yet William Gorman would reveal an even deeper issue lurking beneath.

The emergence of intransitive chains

In his groundbreaking work, William Gorman demonstrated that even Scitovsky’s refined double criteria couldn’t prevent intransitive rankings. Intransitivity means that if you prefer option G to option D, and D to F, logic would dictate you should prefer G to F. But Gorman showed this wasn’t guaranteed under compensation principles.

Here’s how this plays out in practice. Consider three different economic allocations: G, D, and F. Using the compensation tests, society might determine that allocation G is preferred to D because winners could compensate losers. Similarly, D might be preferred to F. Common sense suggests G should therefore be preferred to F. However, Gorman proved that when applying the double criteria, it’s entirely possible that F could be preferred to G, creating an illogical chain where G beats D, D beats F, but F beats G.

This isn’t just an abstract mathematical curiosity. Imagine a government evaluating three tax policy proposals. Using compensation criteria, they might find Policy One better than Policy Two, and Policy Two better than Policy Three. But when they directly compare Policy One and Policy Three, they discover Policy Three appears superior. How can policymakers make rational decisions when their evaluation method produces circular preferences?

Why intransitivity matters for real decisions

The intransitivity problem means that the sequence in which alternatives are compared can determine which one is ultimately selected. If you evaluate proposals in the order G-D-F, you might end up choosing G. But evaluate them in the order F-G-D, and F might win instead. The final choice depends not on which option is genuinely best for society, but on the arbitrary order of comparison.

This creates opportunities for manipulation. A skilled policymaker could engineer which proposal gets adopted simply by controlling the agenda-the sequence in which options are voted on or evaluated. The “best” policy becomes whatever option benefits from favorable sequencing, not what actually maximizes social welfare.

Visualizing intransitivity with multiple production possibilities

To understand why intransitivity emerges, we need to visualize how economists map society’s choices. The Production Possibility Frontier represents all the combinations of goods an economy can produce given its resources and technology. Think of it as the menu of options available to society-if you produce more cars, you must produce fewer computers given fixed resources.

Community Indifference Curves, on the other hand, represent society’s preferences-which combinations of goods provide equal satisfaction to the community as a whole. When economists evaluate whether a policy change improves welfare, they examine whether society can move to a higher indifference curve.

With just two Production Possibility Frontiers and their associated Community Indifference Curves, Scitovsky’s double criteria could identify welfare improvements without reversals. But Gorman showed that once you introduce three or more PPFs with their corresponding indifference curves-representing different economic states or policy scenarios-the double criteria breaks down completely.

The geometry of confusion

Picture three Production Possibility Frontiers representing three different technological states or policy environments, each with its own set of Community Indifference Curves. When you compare points on the first two frontiers using Scitovsky’s double test, you might find a clear ranking. Compare points on the second and third frontiers, and again you get a definite ordering. But when you compare points on the first and third frontiers directly, the relationship may contradict the transitive ordering you’d expect.

The problem arises because the compensation test only compares pairs of points at a time. Point G on the first frontier might dominate point D on the second frontier by the double criteria. Point D might dominate point F on the third frontier. But the double criteria don’t guarantee that G dominates F. The pairwise comparisons can be consistent individually while producing an inconsistent overall ranking.

This geometric reality exposes a fundamental limitation: pairwise comparison methods cannot reliably construct a complete social ordering across multiple alternatives. You can successfully compare pairs, but assembling those pairwise judgments into a coherent ranking of all options may be impossible.

The limitation of existing criteria

Gorman’s intransitivity problem revealed a deeper flaw in the entire compensation principle framework. Economists had hoped that Scitovsky’s double criteria, by eliminating the reversal paradox, would provide a value-free, objective way to rank social states based purely on potential compensation. But intransitivity demonstrated that this approach was insufficient for guaranteeing a rational, transitive social welfare ordering across all possible economic states.

The implications were profound. If even the sophisticated double criteria couldn’t ensure consistent rankings, what hope was there for an objective welfare economics? The search for a mechanical rule that could rank social alternatives without value judgments appeared doomed. Every criterion devised seemed to harbor internal contradictions or produce nonsensical results.

Moreover, the intransitivity problem highlighted that the compensation principle-focusing on whether winners could hypothetically compensate losers-might be asking the wrong question entirely. Perhaps the issue wasn’t finding a more clever compensation test, but recognizing that welfare comparisons involving gainers and losers inevitably require explicit ethical judgments about distribution and fairness, judgments that can’t be avoided through technical wizardry.

Moving beyond mechanical rules

Gorman’s critique helped shift welfare economics away from the hope of finding purely technical, value-free criteria for welfare improvements. Economists increasingly recognized that evaluating policies affecting different people differently requires incorporating explicit social welfare functions-mathematical representations of society’s ethical priorities regarding distribution and equity.

Rather than trying to avoid value judgments, modern welfare economics embraces them transparently. When comparing policies, economists now typically specify assumptions about society’s willingness to trade off gains for some people against losses for others. These value judgments are made explicit rather than buried in seemingly neutral technical criteria.

The lesson extends beyond economics. In any collective decision involving tradeoffs among different people or groups, purely procedural rules without substantive ethical content will likely produce inconsistencies or manipulable results. Gorman’s intransitivity problem stands as a warning: there’s no escape from making moral choices about distribution and fairness.

What do you think? Can you think of real-world policy debates where different sequences of comparison might lead to different outcomes? How should societies handle situations where no clear, transitive ranking of alternatives exists?

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References
  1. https://www.economicsdiscussion.net/welfare-economics/compensation-principle-of-kaldor-hicks-and-scitovsky/21050
  2. https://en.wikipedia.org/wiki/Scitovsky_paradox
  3. https://www.economicsdiscussion.net/welfare-economics/maximisation-of-social-welfare-with-diagram/18949

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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?