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Demography Special Lecture I, II

Latest update: 10 July 2014 (Thu)

1. Overview

Demography is one of the essential methodology to grasp the characteristics of human population survival. It can support the understanding of epidemiology and public health. This lecture basically use a textbook for basic formal demography and demographic models, followed by several examples of actual demographic researches.

Using computer practices may be helpful for understanding. Bringing your own laptop computer is recommended. Software to be used is GNU R, which is free software (http://www.r-project.org).

2. Plan

The lecture is done in first semester on Thursday, 13:00-14:30 at GSICS 206.

  1. Introduction (10 April 2014, handout)
  2. Data collection: Basically 3 ways (Census, Vital Registration and Sample Survey). (17 April 2014, handout)
  3. Age and sex structure (24 April 2014, handout and R code).
  4. Period fertility (1 May 2014, handout; R code; Tables in Excel format: 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7; Tables in tab-delimited text format: 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7; Exercises data: 4E.1, 4E.2, 4E.3, 4E.4; Data in Excel format: Tables 4E.1-4E.4, Table 5.1-5.5)
  5. Cohort fertility (8 May 2014, handout; R code; Tables in tab-delimited text: 5.1, 5.2, 5.3, 5.4, 5.5, 5.6; Table 5.6 Excel Worksheet), (Exercises: Excel format data, Tables in tab-delimited text: 5E-1, 5E-2, 5E-3, 5E-4, 5E-5; R code to answer the exercises of Chapter 5)
  6. Mortality and life tables (22 May 2014, handout; R code for CDR, IMR, etc.; R code for lifetable; Supplementary explanation; Excel worksheets are also available as tables-6.xls; Additional explanation on 29 May 2014) The data and answers to Exercises: Excel file, R code and comments.
  7. Migration (29 May 2014, handout[Caution! corrected on 30th May 2014], R code to see the relationship between gross migration and net migration in Japan 2013, R code to compare the population pyramids among all prefectures, R code to see the relationship between PEI [population expanding index] and YP [youth population] by prefecture.)
  8. Marriage and divorce (5th June 2014, handout, R code for text and R code for exercises.)
  9. Reproducibility (12th June 2014, handout, R code for text, R code with comments for exercise, R code to calculate TFR, GRR and NRR for Japan 2010.)
  10. Models of age structure (19th June 2014, handout, R code for text, R code for exercises.)
  11. Model life tables (26th June 2014, handout, R code for Chapter 12 and its exercises, R code for Chapter 13)
  12. Models of nupitiality and fertility (3rd July 2014, handout, R code)
  13. Population projections and forecasts (10th July 2014, handout, R code)
  14. Examples of demographic analysis in Senegal or other countries (lecture given by Dr. Reiko Hayashi, on 17th July 2014)
  15. Microsimulation models (24th July 2014, handout, simulation conditions setting R code called by other code, calculate initial population and save R code, execute simulation R code)

3. Evaluation

Based on presentation, discussion, and report.

4. Textbook

Newell C (1988) Methods and models in demography. The Guilford Press

(Reference) Preston SH, Heuveline P, Guillot M (2001) Demography: Measuring and Modeling Population Processes. Blackwekk Publishing.

5. Office hour

For the students of the Graduate School of Health Sciences, Tuesday, 18:00-18:30, at Myodani campus E707. For the students of GSICS, Thusday, 16:40-18:00 at Frontier Building Room 717. Taking appointment is recommended.

6. Message to the students

Done in English.

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