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Record W7096894815

www.vanderbilt.edu/econ Social Saving of the Panama Canal

2004· article· en· W7096894815 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLogistics and Infrastructure Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPanama canalCompetition (biology)Quarter (Canadian coin)CommissionPanamaWelfareValue (mathematics)Order (exchange)
DOInot available

Abstract

fetched live from OpenAlex

Seminar at Vanderbilt University for helpful comments on earlier versions of this paper. Any remaining errors are the responsibility of the authors. Social Saving of the Panama Canal At the time when the Panama Canal was handed over to Panama, most people believed that the Canal was of little material worth to the United States. However, what was the value of this canal to the United States in the 1920s? We estimate the social savings generated by the Panama Canal for the United States in 1924 in order to assess the contribution it made to the social welfare of the United States. We estimate the direct social savings that resulted from lower shipping costs for both international and coastwise trade. Additionally, we estimate the benefits from two sources of indirect social savings. The first was generated as a result of the expansion of the feasible market area, due to reduced transport costs. The second source of indirect social savings is what we refer to as the pro-competitive effect of the competition between the water shipping via the Panama Canal and shipping via the transcontinental railroad. We argue that this competition resulted in lower freight rates for all railroad traffic due to the way in which the Interstate Commerce Commission regulated railroad freight rates. Estimates of total social saving range from 0.58 percent of GNP to 1.97 percent of GNP in 1924. Even the lower estimate of social saving is a value that is one quarter larger than the total cost of acquiring the land and constructing the Panama Canal. 2 1

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.409
Threshold uncertainty score0.584

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5910.162

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 head0.013
GPT teacher head0.193
Teacher spread0.181 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2004
Admission routes1
Has abstractyes

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