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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Deadweight Drift: A Unified Framework for Market Distortions

Authors: RIVERA, STEVEN;

Deadweight Drift: A Unified Framework for Market Distortions

Abstract

This paper proposes Deadweight Drift as a generalization of Deadweight Loss that unifies institutional and behavioral market distortions under a single theoretical concept. Vernon Smith's experimental economics demonstrated that equilibrium models succeed remarkably well in non-speculative markets but systematically fail in speculative markets; findings that remain theoretically disconnected in the literature. This paper argues that a structural feature explains this divergence: in ordinary markets, goods are purchased for consumption, anchoring prices to use value; in speculative markets, assets are purchased for resale, decoupling prices from fundamental value and enabling behavioral dynamics to generate sustained deviations from equilibrium. Deadweight Drift bridges this gap by defining market distortion as cumulative deviation from equilibrium regardless of source, operating in two directions: Negative Drift (activity suppressed below equilibrium) and Positive Drift (activity inflated above equilibrium). The framework achieves theoretical unification through subtraction rather than addition: traditional Deadweight Loss becomes a special case of externally-induced Negative Drift, while speculative bubbles and panics become internally-induced Positive and Negative Drift respectively. The economic consequence, capital not allocated to its most productive use, is identical across all cases. This parsimonious framework extends explanatory power to speculative markets while maintaining the analytical clarity of the original Deadweight Loss concept.

Keywords

Vernon Smith, speculative bubbles, D61, market distortions, D91, Deadweight loss, behavioral economics, capital misallocation, G12, experimental economics, G41

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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