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Record W2597412643 · doi:10.1111/caje.12385

European influence and economic development

2019· article· en· W2597412643 on OpenAlexvenueno aff
Theo S. Eicher, David J. Kuenzel

Bibliographic record

VenueCanadian Journal of Economics/Revue canadienne d économique · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIncentiveLegislaturePoliticsConstruct (python library)Government (linguistics)Political scienceProperty rightsPolitical economyDevelopment economicsEconomicsLawMarket economy

Abstract

fetched live from OpenAlex

Abstract The development accounting literature identifies political institutions as fundamental development determinants. Forms of government or executive constraints are thought to shape economic institutions (e.g., property rights) that provide necessary incentives for economic growth. One strand of the literature suggests that European influence is a crucial economic development determinant, presumably through the adoption of European institutions. But how exactly did European influence in the distant past induce positive economic outcomes today? Previous approaches rely on “language,” “settler mortality,” “legal origins” or the “number of European settlers” as indirect proxies of European influence. We propose a direct and quantifiable mechanism: the adoption of European constitutional features. We construct a dataset of all constitutional dimensions from 1800–2008 for all countries and find that nations experience growth accelerations after adopting features of European constitutions. The growth effects are influenced (negatively) by periods of political turmoil, but they are independent of colonial backgrounds. These results show how European influence may have fostered growth, and they imply that countries were able to overcome adverse initial conditions over the last 200 years by adopting European constitutional features. Our constitutional dataset is sufficiently detailed to identify the specific dimensions of European constitutions that matter most for development: legislative rules and specific provisions that curtail executive powers.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.091
GPT teacher head0.193
Teacher spread0.102 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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