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Cognitive Biases in Behavioral Economics Dataset

Cognitive Biases in Behavioral Economics Dataset

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What does the Cognitive Biases in Behavioral Economics Dataset include?

The Cognitive Biases in Behavioral Economics Dataset includes 1,501 empirically documented cognitive biases in Excel and CSV formats, categorised across 12 behavioural economics domains. Each entry contains the bias name, definition, associated heuristics, detection indicators, real-world case applications, and links to academic sources. The dataset also includes structured fields for severity scoring and mitigation strategies, making it suitable for risk assessment, model development, and organisational auditing.

What if undetected cognitive biases in your decision-making processes are undermining your organisation’s economic models, forecasting accuracy, and strategic planning? The Cognitive Biases in Behavioral Economics Dataset delivers a rigorously structured, analysis-ready compilation of 1,501 empirically validated cognitive biases, mapped to behavioural economics principles, industry use cases, and mitigation strategies, enabling risk officers, data scientists, and strategy leaders to detect, assess, and correct biased judgements before they impact financial outcomes. Without a systematic reference for cognitive bias identification, organisations face flawed risk assessments, poor investment decisions, and diminished predictive model performance, risks that escalate in high-stakes environments like financial services, public policy, and enterprise planning.

What You Receive

  • A fully searchable Excel and CSV dataset containing 1,501 cognitive biases, each tagged with formal name, alternative labels, and conceptual definition, enabling rapid integration into analytical workflows and decision-support systems
  • Structured categorisation by 12 core domains of behavioural economics, including prospect theory, heuristics, social influence, loss aversion, time inconsistency, and bounded rationality, providing a taxonomy that aligns with academic and professional literature
  • Mapping of each bias to real-world case studies and documented business impacts, such as overconfidence in M&A valuations, anchoring in pricing strategies, and availability bias in risk forecasting, so you can recognise operational vulnerabilities in context
  • Linkages to established frameworks: Nudge Theory (Thaler & Sunstein), System 1 vs System 2 thinking (Kahneman), Behavioural Insights Team (BIT) taxonomies, and the EAST framework, ensuring alignment with global standards
  • Assessment-ready fields including severity rating, detection signals, susceptibility indicators, and evidence strength, allowing you to prioritise high-risk biases in organisational decision-making
  • Ready-to-use variable definitions and coding schemas for researchers and data analysts building behavioural risk models or audit tools, reducing development time by up to 70%
  • Comprehensive metadata documentation with source references from peer-reviewed journals, including Judgment and Decision Making, Behavioural and Brain Sciences, and the Journal of Economic Psychology, supporting academic rigour and audit compliance

How This Helps You

With the Cognitive Biases in Behavioral Economics Dataset, you gain an authoritative, machine-readable reference that transforms abstract behavioural concepts into actionable intelligence. You can audit internal decision processes, strengthen economic forecasting models, and design de-biasing interventions with precision. For compliance and risk teams, this dataset enables proactive identification of judgement errors that could lead to regulatory scrutiny or financial misstatements. For strategy and analytics units, it provides the foundation for building more robust, human-aware models. Failing to account for cognitive biases means accepting degraded decision quality, inefficient resource allocation, and increased exposure to behavioural risk, all of which erode organisational resilience and competitive advantage. This dataset equips you to close that gap with empirical rigour.

Who Is This For?

  • Behavioural economists and data scientists building predictive models that incorporate human judgement factors
  • Risk and compliance officers auditing decision-making processes for cognitive bias exposure
  • Strategy consultants developing interventions to improve executive decision quality
  • Policy designers applying behavioural insights to public or organisational programmes
  • Academic researchers requiring a standardised, citable dataset for empirical studies
  • Financial analysts integrating behavioural risk factors into valuation and forecasting frameworks
  • Internal audit teams assessing the robustness of high-stakes business decisions

Choosing the Cognitive Biases in Behavioral Economics Dataset is not just an investment in data, it’s a commitment to decision integrity. You’re equipping your team with the most comprehensive, systematically organised reference available to detect and mitigate the hidden influences shaping economic judgements. This is how leading organisations future-proof their strategies and maintain analytical credibility.

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