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A stochastic version of the Malthusian Trap Model: consequences for the empirical relationship between economic

D Blanchet

    Mathematical Population Studies
    |January 1, 1988
    PubMed
    Summary

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    This study explores the Malthusian trap model, finding that country-specific factors and data aggregation can explain weak correlations between population growth and economic growth rates. Further research is needed to fully understand these insignificant correlations.

    Area of Science:

    • Economics
    • Demography
    • Econometrics

    Background:

    • The Malthusian trap model posits a link between population growth and income per capita.
    • Empirical evidence often shows weak or near-zero correlations between these growth rates, challenging the model's predictions.
    • Understanding these correlations is crucial for development economics and policy-making.

    Purpose of the Study:

    • To develop a stochastic Malthusian trap model to evaluate the correlation between income and population growth rates.
    • To investigate the impact of country-specific random effects and temporal aggregation on observed correlations.
    • To assess whether these factors can explain the commonly observed weak cross-sectional correlations.

    Main Methods:

    • A stochastic version of the Malthusian trap model was formulated.
    Keywords:
    Correlation Of DataCorrelation StudiesDemographic AnalysisDemographic FactorsDemographic TransitionDemographyDeveloping CountriesEconomic ConditionsEconomic DevelopmentEconomic FactorsEconomic ModelIncomeMacroeconomic FactorsMalthusianismMathematical ModelModels, TheoreticalPopulationPopulation DynamicsPopulation GrowthPopulation TheoryProbabilityResearch MethodologySocial SciencesSocioeconomic FactorsStatistical StudiesStudiesTime Factors

    Related Experiment Videos

  • The model incorporated country-specific, time-invariant random components.
  • The analysis considered the effects of temporal aggregation in measuring growth rates.

    • Main Results:

    • The study demonstrates that country-specific random effects and temporal aggregation can lead to near-zero correlations between population and economic growth.
    • These factors can explain weak correlations even when a negative relationship is theoretically present.
    • The model's applicability is limited by potential structural shifts during demographic transitions.

    Conclusions:

    • Stochastic elements and data aggregation methods can obscure the true relationship between population and economic growth.
    • While these factors offer a potential explanation for weak correlations, they may not fully account for insignificant findings.
    • Further investigation is required to address complexities arising from structural changes in demographic transitions.