Arbeitspapier

A dynamical systems approach to modeling human development

A key aim of economics is to set goals and investigate the relationship between various socio-economic indicators. By fitting time series data using a Bayesian dynamical systems approach we identify non-linear interactions between GDP, child mortality, fertility rate and female education. We show that reduction in child mortality is best predicted by the level of GDP in a country over the preceding 5 years. Fertility rate decreases when current or predicted child mortality is low, and is weakly dependent on female education and economic growth. As fertility drops, GDP increases producing a cycle that drives the demographic transition.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 2014:9

Klassifikation
Wirtschaft
Model Construction and Estimation
Model Evaluation, Validation, and Selection
Forecasting Models; Simulation Methods
Optimization Techniques; Programming Models; Dynamic Analysis
Fertility; Family Planning; Child Care; Children; Youth
Planning Models; Planning Policy
Thema
Demographic transition
Human Development
dynamical systems
Bayesian
data-driven
GDP
child mortality
fertility rate

Ereignis
Geistige Schöpfung
(wer)
Ranganathan, Shyam
Swain, Ranjula Bali
Sumpter, David J. T.
Ereignis
Veröffentlichung
(wer)
Uppsala University, Department of Economics
(wo)
Uppsala
(wann)
2014

Handle
URN
urn:nbn:se:uu:diva-235541
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Ranganathan, Shyam
  • Swain, Ranjula Bali
  • Sumpter, David J. T.
  • Uppsala University, Department of Economics

Entstanden

  • 2014

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