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Record W3124432207

Price Discrimination in the Market for Corporate Law

2000· preprint· en· W3124432207 on OpenAlexfundno aff
Marcel Kahan, Ehud Kamar

Bibliographic record

VenueeScholarship (California Digital Library) · 2000
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsnot available
FundersYork UniversityUniversity of Southern California
KeywordsPrice discriminationBusinessLaw of one priceMonetary economicsEconomicsMarket priceMid priceMicroeconomicsPrice levelFinance
DOInot available

Abstract

fetched live from OpenAlex

This Article shows how Delaware uses its power in the market for incorporations to increase its profits through price discrimination. Price discrimination entails charging different prices to different consumers according to their willingness to pay. Two features of Delaware law constitute price discrimination. First, Delaware's uniquely structured franchise tax schedule assesses a higher tax to public than to nonpublic firms and, among public firms, to larger firms and firms more likely to be involved in future acquisitions. Second, Delaware's litigation-intensive corporate law effectively price discriminates between firms according to the level of their involvement in corporate disputes. From the perspective of social welfare, price discrimination between public and nonpublic firms is likely to enhance efficiency (although the efficiency effect of franchise tax price discrimination among public firms is indeterminate). By contrast, price discrimination through litigation-intensive corporate law is likely to reduce efficiency.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0090.008
Open science0.0010.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0120.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.212
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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