Quantitative Estimation of Characteristic Parameters in Demography: Methods, Models, Techniques and Simulations with Computer Programs

Quantitative Estimation of Characteristic Parameters in Demography: Methods, Models, Techniques and Simulations with Computer Programs

MAM research frontier lecture series:

Intensive PhD course for PhD students and researchers

Quantitative Estimation of Characteristic Parameters in Demography: Methods, Models, Techniques and Simulations with Computer Programs

Christos H Skiadas, ManLab, Technical University of Crete, Chania, Greece, Email: skiadas@cmsim.net

Thursday, March  7, 2019, 15.15-17.00

Monday, March 11, 2019, 15.15-17.00

Location: R2-605, Västerås, Mälardalen University

Abstract:

We provide methods, models and estimation techniques along with stochastic simulations and the appropriate computer programs to estimate and simulate from Life Tables the main characteristic parameters in Demography Research.

The seminar includes:

  1. Life Tables and basic parameters estimation (Life Expectancy)
  2. The death probability density
  3. The Gompertz and the Weibull models
  4. The Stochastic models
  5. Stochastic simulations
  6. Heath State and Deterioration
  7. Healthy Life Expectancy
  8. The optimal retirement age
  9. Health Expenditure allocation per age group
  10. Various estimations

References

1. New Book on: “Demography and Health Issues: Population Aging, Mortality and Data Analysis” (Skiadas & Skiadas, Eds, 2018). This is the 46 Volume of the Springer Series on Demographic Methods and Population Analysis.

2. New Book on: “Exploring the Health State of a Population by Dynamic Modeling Methods” (Skiadas & Skiadas, Monograph, 2018). This is the 45 Volume of the Springer Series on Demographic Methods and Population Analysis.