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Record W4213124586 · doi:10.3386/w28815

Human Capitalists

2021· report· en· W4213124586 on OpenAlexaff
Andrea L. Eisfeldt, Antonio Falato, Mindy Z. Xiaolan

Bibliographic record

VenueNational Bureau of Economic Research · 2021
Typereport
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of Toronto
FundersUniversity of Texas at Austin
KeywordsBusiness

Abstract

fetched live from OpenAlex

The widespread and growing use of equity-based compensation has transformed high-skilled labor from a pure labor input to a class of "human capitalists." High-skilled labor earns substantial income in the form of equity claims to firms' future dividends and capital gains. Equity-based compensation has increased substantially since the 1980s, representing thirty-six percent of total compensation to high-skilled labor in US manufacturing in recent years. Ignoring equity income causes incorrect measurement of the returns to high-skilled labor, with substantial effects on macroeconomic trends. In manufacturing, the inclusion of equity-based compensation almost eliminates the decline in the high-skilled labor share, and reduces the total decline in the labor share by about one-third. Only by including equity pay does our structural estimation support complementarity between high-skilled labor and physical capital greater than that of We also provide additional regression evidence of such complementarity.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.543
GPT teacher head0.612
Teacher spread0.069 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations14
Published2021
Admission routes1
Has abstractyes

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