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Record W7097512249

Time Series Tests of the Solow Growth Model

2005· article· en· W7097512249 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsnot available
Fundersnot available
KeywordsPer capita incomeReal gross domestic productPer capitaGrowth ratePermanent income hypothesisTime seriesEndogenous growth theoryIncome distribution
DOInot available

Abstract

fetched live from OpenAlex

We propose a new methodology in order to study the stability of output growth over 135 years for 19 OECD countries and 7 Asian countries. Previous research on economic growth can be categorized in three hypothesis: first, the level and the growth rate of long run income per capita is constant, second, policy changes have transitory effect on the growth rate of the economy and permanent effect on the income level and third, policy changes have permanent effect on the economy’s long run growth rate and income level. Our innovation consists in the fact that we formally test these hypotheses using time series tests techniques. We find evidence of constant income levels and growth rates for 2 countries which were the least affected by wars, US and Canada. For the second group of 7 OECD countries, strongly affected by the World War II, we find constant growth rate but a permanent change in the income level after a shock, showing evidence towards semi-endogenous growth models. Finally, there is a third group of 11 countries (all Asian countries and some European countries) where we find permanent changes in growth rate and income level after a shock, showing evidence towards endogenous growth models. “Consider the following simple exercise. An economist living in the year 1929 (who has miraculous access to historical per capita GDP data) fits a simple linear trend to the

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)0.012
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.038
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.020
GPT teacher head0.183
Teacher spread0.163 · 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 designObservational
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
Published2005
Admission routes1
Has abstractyes

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