The University of Southampton
Courses

# DEMO6022 Demographic Methods 2

## Module Overview

The module will cover a range of more advanced methods of demographic analysis, including multiple decrement life tables, health expectancies, an introduction to event history analysis, the use of type 1 and type 2 rates in demography and sources of bias in event history data, parity-specific measurement, empirical and relational model life tables, models for age patterns, stable population theory, selected topics in population projections, and elements of linear algebra and matrix models of population dynamics.

### Aims and Objectives

#### Learning Outcomes

##### Learning Outcomes

Having successfully completed this module you will be able to:

• Construct a multiple decrement life table, eliminate or modify a cause of decrement, and calculate healthy life expectancy;
• Critically evaluate the potential biases involved in analysing event history data, and the main methods to handle these;
• Interpret and apply parity-specific fertility measures, and appreciate current debates regarding the measurement of fertility;
• Explain and assess the use of model schedules in demography, especially in the context of missing or incomplete data;
• Calculate a stable population, compute and analyse the basic features and measures of the associated population dynamics;
• Carry out basic operations on matrices and vectors, and apply basic matrix algebra to population projection problems;
• Appreciate specific issues in population projections, such as small area, household and multistate projections;
• Demonstrate problem solving by using spreadsheets and open access demographic software for a range of demographic tasks.

### Syllabus

Dependent and independent multiple decrement life tables and other advanced life table methods. Health expectancies. Introduction to event history analysis and birth histories; Kaplan-Meier estimator. Additional fertility measures: parity progression ratios and birth history measures. Fertility and reproduction estimated from cross-sectional or longitudinal surveys. Model age patterns and stable population theory, with applications to historical data and populations lacking complete vital statistics. Models for demographic estimation when data are incomplete or inaccurate. Selected topics in population projections. Matrix population models and the Leslie matrix. Introduction to multistate demography.

### Learning and Teaching

#### Teaching and learning methods

Depending on feasibility, teaching may be delivered face to face intensively over a week, or online using a mixture of synchronous and asynchronous online methods, which may include lectures, discussion boards, workshop activities, exercises, and videos. A range of resources will also be provided for further self-directed study.

TypeHours
Teaching20
Independent Study80
Total study time100

Siegel, J.S. (2002). Applied Demography: applications to business, government, law and public policy.

Preston, S.H., Heuveline, P. and Guillot, M. (2001). Demography: Measuring and Modelling Population Processes.

Siegel, J.S., and Swanson, D.A. (2004). The Methods and materials of demography.

Rowland, D. (2003). Demographic Methods and Concepts.

### Assessment

#### Summative

MethodPercentage contribution
Assessment  (2 hours) 100%

#### Referral

MethodPercentage contribution
Assessment  (2 hours) 100%

#### Repeat Information

Repeat type: Internal & External