- Title Pages
- List of Contributors
- Introduction
- Acknowledgments
- Chapter 1 Homo heuristicus: Why Biased Minds Make Better Inferences
- Introduction to Chapter 2
- Chapter 2 Reasoning the Fast and Frugal Way: Models of Bounded Rationality
- Introduction to Chapter 3
- Chapter 3 Models of Ecological Rationality: The Recognition Heuristic
- Introduction to Chapter 4
- Chapter 4 How Forgetting Aids Heuristic Inference
- Introduction to Chapter 5
- Chapter 5 Simple Heuristics and Rules of Thumb: Where Psychologists and Behavioural Biologists Might Meet
- Introduction to Chapter 6
- Chapter 6 Naive and yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees
- Introduction to Chapter 7
- Chapter 7 The Priority Heuristic: Making Choices Without Trade-offs
- Introduction to Chapter 8
- Chapter 8 One-Reason Decision-Making: Modeling Violations of Expected Utility Theory
- Introduction to Chapter 9
- Chapter 9 Moral Satisficing: Rethinking Moral Behavior as Bounded Rationality
- Introduction to Chapter 10
- Chapter 10 Hindsight Bias: A By-Product of Knowledge Updating?
- Introduction to Chapter 11
- Chapter 11 SSL: A Theory of How People Learn to Select Strategies
- Introduction to Chapter 12
- Chapter 12 Fast, Frugal, and Fit: Simple Heuristics for Paired Comparison
- Introduction to Chapter 13
- Chapter 13 Heuristic and Linear Models of Judgment: Matching Rules and Environments
- Introduction to Chapter 14
- Chapter 14 Categorization with Limited Resources: A Family of Simple Heuristics
- Introduction to Chapter 15
- Chapter 15 A Signal Detection Analysis of the Recognition Heuristic
- Introduction to Chapter 16
- Chapter 16 The Relative Success of Recognition-Based Inference in Multichoice Decisions
- Introduction to Chapter 17
- Chapter 17 The Quest for Take-the-Best: Insights and Outlooks from Experimental Research
- Introduction to Chapter 18
- Chapter 18 Empirical Tests of a Fast-and-Frugal Heuristic: Not Everyone “Takes-the-Best”
- Introduction to Chapter 19
- Chapter 19 A Response-Time Approach to Comparing Generalized Rational and Take-the-Best Models of Decision Making
- Introduction to Chapter 20
- Chapter 20 Sequential Processing of Cues in Memory-Based Multiattribute Decisions
- Introduction to Chapter 21
- Chapter 21 Does Imitation Benefit Cue Order Learning?
- Introduction to Chapter 22
- Chapter 22 The Aging Decision Maker: Cognitive Aging and the Adaptive Selection of Decision Strategies
- Introduction to Chapter 23
- Chapter 23 On the Psychology of the Recognition Heuristic: Retrieval Primacy as a Key Determinant of Its Use
- Introduction to Chapter 24
- Chapter 24 The Recognition Heuristic in Memory-Based Inference: Is Recognition a Non-compensatory Cue?
- Introduction to Chapter 25
- Chapter 25 Why You Think Milan Is Larger than Modena: Neural Correlates of the Recognition Heuristic
- Introduction to Chapter 26
- Chapter 26 Fluency Heuristic: A Model of How the Mind Exploits a By-Product of Information Retrieval
- Introduction to Chapter 27
- Chapter 27 The Use of Recognition in Group Decision-Making
- Introduction to Chapter 28
- Chapter 28 Psychological Models of Professional Decision Making
- Introduction to Chapter 29
- Chapter 29 Geographic Profiling: The Fast, Frugal, and Accurate Way
- Introduction to Chapter 30
- Chapter 30 Take-the-Best in Expert–Novice Decision Strategies for Residential Burglary
- Introduction to Chapter 31
- Chapter 31 Predicting Wimbledon 2005 Tennis Results by Mere Player Name Recognition
- Introduction to Chapter 32
- Chapter 32 Simple Heuristics that Help Us Win
- Introduction to Chapter 33
- Chapter 33 How Dogs Navigate to Catch Frisbees
- Introduction to Chapter 34
- Chapter 34 Optimal versus Naive Diversification: How Inefficient Is the 1/N Portfolio Strategy?
- Introduction to Chapter 35
- Chapter 35 Parental Investment: How an Equity Motive Can Produce Inequality
- Introduction to Chapter 36
- Chapter 36 Instant Customer Base Analysis: Managerial Heuristics Often “Get It Right”
- Introduction to Chapter 37
- Chapter 37 Green Defaults: Information Presentation and Pro-environmental Behaviour
- Introduction to Chapter 38
- Chapter 38 “If… ”: Satisficing Algorithms for Mapping Conditional Statements onto Social Domains
- Introduction to Chapter 39
- Chapter 39 Applying One Reason Decision-Making: The Prioritisation of Literature Searches
- Introduction to Chapter 40
- Chapter 40 Aggregate Age-at-Marriage Patterns from Individual Mate-Search Heuristics
- References
- Author Index
- Subject Index
Parental Investment: How an Equity Motive Can Produce Inequality
Parental Investment: How an Equity Motive Can Produce Inequality
- Chapter:
- (p.670) Chapter 35 Parental Investment: How an Equity Motive Can Produce Inequality
- Source:
- Heuristics
- Author(s):
Ralph Hertwig (Contributor Webpage)
Jennifer Nerissa Davis
Frank J. Sulloway
- Publisher:
- Oxford University Press
The equity heuristic is a decision rule specifying that parents should attempt to subdivide resources more or less equally among their children. This investment rule coincides with the prescription from optimality models in economics and biology in cases in which expected future return for each offspring is equal. This chapter presents a counterintuitive implication of the equity heuristic: Whereas an equity motive produces a fair distribution at any given point in time, it yields a cumulative distribution of investments that is unequal. The chapter tests this analytical observation against evidence reported in studies exploring parental investment and show how the equity heuristic can provide an explanation of why the literature reports a diversity of birth order effects with respect to parental resource allocation.
Keywords: parental investment, heuristics, allociation, equity heuristic
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- Title Pages
- List of Contributors
- Introduction
- Acknowledgments
- Chapter 1 Homo heuristicus: Why Biased Minds Make Better Inferences
- Introduction to Chapter 2
- Chapter 2 Reasoning the Fast and Frugal Way: Models of Bounded Rationality
- Introduction to Chapter 3
- Chapter 3 Models of Ecological Rationality: The Recognition Heuristic
- Introduction to Chapter 4
- Chapter 4 How Forgetting Aids Heuristic Inference
- Introduction to Chapter 5
- Chapter 5 Simple Heuristics and Rules of Thumb: Where Psychologists and Behavioural Biologists Might Meet
- Introduction to Chapter 6
- Chapter 6 Naive and yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees
- Introduction to Chapter 7
- Chapter 7 The Priority Heuristic: Making Choices Without Trade-offs
- Introduction to Chapter 8
- Chapter 8 One-Reason Decision-Making: Modeling Violations of Expected Utility Theory
- Introduction to Chapter 9
- Chapter 9 Moral Satisficing: Rethinking Moral Behavior as Bounded Rationality
- Introduction to Chapter 10
- Chapter 10 Hindsight Bias: A By-Product of Knowledge Updating?
- Introduction to Chapter 11
- Chapter 11 SSL: A Theory of How People Learn to Select Strategies
- Introduction to Chapter 12
- Chapter 12 Fast, Frugal, and Fit: Simple Heuristics for Paired Comparison
- Introduction to Chapter 13
- Chapter 13 Heuristic and Linear Models of Judgment: Matching Rules and Environments
- Introduction to Chapter 14
- Chapter 14 Categorization with Limited Resources: A Family of Simple Heuristics
- Introduction to Chapter 15
- Chapter 15 A Signal Detection Analysis of the Recognition Heuristic
- Introduction to Chapter 16
- Chapter 16 The Relative Success of Recognition-Based Inference in Multichoice Decisions
- Introduction to Chapter 17
- Chapter 17 The Quest for Take-the-Best: Insights and Outlooks from Experimental Research
- Introduction to Chapter 18
- Chapter 18 Empirical Tests of a Fast-and-Frugal Heuristic: Not Everyone “Takes-the-Best”
- Introduction to Chapter 19
- Chapter 19 A Response-Time Approach to Comparing Generalized Rational and Take-the-Best Models of Decision Making
- Introduction to Chapter 20
- Chapter 20 Sequential Processing of Cues in Memory-Based Multiattribute Decisions
- Introduction to Chapter 21
- Chapter 21 Does Imitation Benefit Cue Order Learning?
- Introduction to Chapter 22
- Chapter 22 The Aging Decision Maker: Cognitive Aging and the Adaptive Selection of Decision Strategies
- Introduction to Chapter 23
- Chapter 23 On the Psychology of the Recognition Heuristic: Retrieval Primacy as a Key Determinant of Its Use
- Introduction to Chapter 24
- Chapter 24 The Recognition Heuristic in Memory-Based Inference: Is Recognition a Non-compensatory Cue?
- Introduction to Chapter 25
- Chapter 25 Why You Think Milan Is Larger than Modena: Neural Correlates of the Recognition Heuristic
- Introduction to Chapter 26
- Chapter 26 Fluency Heuristic: A Model of How the Mind Exploits a By-Product of Information Retrieval
- Introduction to Chapter 27
- Chapter 27 The Use of Recognition in Group Decision-Making
- Introduction to Chapter 28
- Chapter 28 Psychological Models of Professional Decision Making
- Introduction to Chapter 29
- Chapter 29 Geographic Profiling: The Fast, Frugal, and Accurate Way
- Introduction to Chapter 30
- Chapter 30 Take-the-Best in Expert–Novice Decision Strategies for Residential Burglary
- Introduction to Chapter 31
- Chapter 31 Predicting Wimbledon 2005 Tennis Results by Mere Player Name Recognition
- Introduction to Chapter 32
- Chapter 32 Simple Heuristics that Help Us Win
- Introduction to Chapter 33
- Chapter 33 How Dogs Navigate to Catch Frisbees
- Introduction to Chapter 34
- Chapter 34 Optimal versus Naive Diversification: How Inefficient Is the 1/N Portfolio Strategy?
- Introduction to Chapter 35
- Chapter 35 Parental Investment: How an Equity Motive Can Produce Inequality
- Introduction to Chapter 36
- Chapter 36 Instant Customer Base Analysis: Managerial Heuristics Often “Get It Right”
- Introduction to Chapter 37
- Chapter 37 Green Defaults: Information Presentation and Pro-environmental Behaviour
- Introduction to Chapter 38
- Chapter 38 “If… ”: Satisficing Algorithms for Mapping Conditional Statements onto Social Domains
- Introduction to Chapter 39
- Chapter 39 Applying One Reason Decision-Making: The Prioritisation of Literature Searches
- Introduction to Chapter 40
- Chapter 40 Aggregate Age-at-Marriage Patterns from Individual Mate-Search Heuristics
- References
- Author Index
- Subject Index