Skip to main content
Log in

Stochastic projection of the population distribution in Greece

Projection stochastique de la distribution de la population en Gréce

  • Published:
European Demographic Information Bulletin

summary

This paper is concerned with applications of stochastic methods to project the population distributions in Greece. Particularly, having the statistical data of the census in 1961 and 1971 and imposing some assumptions on the population mobility, the transition matrices between urban, semi-urban and rural areas were obtained for each one of the nine Greek geographic divisions. Similarly, having the statistical data on births, deaths and migration during the time-period 1961–1971, the growth operator was estimated by the use of the method of the algebraic eigenvalues. By this way estimations of the population distribution were obtained for every geographic region yearly. As it appears from the results of the analysis, in comparison with the census results, the estimations were satisfactory. The predictions for the time-period 1971–1981 must be compared with the expected results of the census in 1981, because the National Statistical Service does not project population distributions for geographic subdivisions. Finally, in the last paragraph, stochastic control methods were introduced in order to obtain a goal population distribution and its maintainable region.

Resume

Cet article traite de l’application de méthodes stochastiques à la projection de distributions de population en Grèce. En particulier, à partir des données statistiques des recensements de 1961 et 1971, et en faisant certaines hypothèses sur la mobilité de la population, nous avons obtenu les matrices de transition entre les régions urbaines, semi-urbaines et rurales pour chacune des neuf régions géographiques grecques. De même, avec les statistiques de naissances, de décès et de migration de la décennie 1961–1971, nous avons estimé l’opérateur de croissance en utilisant la méthode des. valeurs propres algébriques. Des estimations de la distribution de population ont ainsi été obtenues pour chaque région géographique, année par année. Les résultats de l’analyse montrent que, en comparaison avec les résultats des recensements, ces estimations sont satisfaisantes. Les prévisions pour la période 1971–1981 devront être comparées aux résultats attendus du recensement de 1981, le Service Statistique National ne faisant pas de projections des distributions de population par régions. Enfin, dans le dernier paragraphe, les méthodes du contrôle stochastique ont été introduites pour obtenir une distribution désirée de population et sa régionalisation possible.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • PRAIS, J.S., “The Formal Theory of Social Mobility”,Population Studies, IX, pp. 72–81 (1955).

    Article  Google Scholar 

  • BLUMEN, I., II. KOGAN & P.J. McCARTHY, “The Industrial Mobility of Labor as a Probability Process”, Cornell University (1955).

  • BERGER, J. & S.L. SNELL, “On the Concept of Equal Exchange”,Behavioral Science, II, pp. 111–118 (1957).

    Google Scholar 

  • ROGERS, A.,Matrix Analysis of Interregional Population Growth and Distribution, University of California Press, Berkeley and Los Angeles (1960).

    Google Scholar 

  • KEMENY, J.G. & S.L. SHELL,Mathematical Models in the Social Sciences, Ginn & Co., Boston (1962).

    Google Scholar 

  • BARTHOLOMEW, D.,Stochastic Models for Social Processes, J. Wiley (1973).

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Georgakis, G., Tziafetas, G. Stochastic projection of the population distribution in Greece. European Demographic Information Bulletin 13, 120–134 (1982). https://doi.org/10.1007/BF02917606

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02917606

Keywords

Navigation