Demographic Analysis (SYD 5135)

Professor Carlson / Spring 2014 / BEL 635 / WED 8:30-11:00AM

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Students with disabilities needing academic accomodation should: (1) register with and provide documentation to the Student Disabilities Resource Center; (2) bring a letter to the instructor during the first week of class, indicating the need for and type of accomodation requested.

Organization and Format: The seminar meets once per week for 150 minutes, with one 10-minute break. At each meeting, participants discuss the content, background and applications of methods of demographic analysis covered in one chapter of the course text: Preston S, Heuveline P, Guillot M. 2001. Demography: Measuring and Modelling Population Processes. (London: Basil Blackwell Publishers). In some weeks, additional readings and topics complement the basic text. Computer spreadsheet assignments illustrate examples using demographic data. Practice on computers with the spreadsheet assignments forms part of each class meeting. Participants must complete each assignment (spreadsheet and associated essay) independently and return it for evaluation prior to the next meeting. Course grade is based on level of mastery of material in these assignments and a final examination.

Course Objectives: At the end of the course, the student will be able to: 1) calculate standard demographic measures from original empirical data; 2) use standard demographic techniques to evaluate data quality and to make adjustments for deficiencies detected in empirical data; 3) apply standard demographic techniques for estimating missing or incomplete data; and 4) utilize standard cohort-component methods for making population projections.

Components of Course Grade:

THREE-FOURTH of the course grade will be based on students' calculations and written comments related to spreadsheet assignments from the course text and other readings. ONE-FOURTH of the course grade will be based on a written cumulative final examination.


COURSE SCHEDULE

Week 1 - Basic Concepts and Measures

Week 2 - Age-Specific Rates and Probabilities

Week 3 - The Life Table and Single Decrement Processes

week 4 - Multivariate Survival Time Models

Week 5 - Multiple Decrement Processes

Week 6 - Fertility and Reproduction

Week 7 - Population Projection

Week 8 - The Stable Population Model

Week 9 - Demographic Relations in Non-stable Populations

Week 10 - Modeling Age Patterns of Vital Events

Week 11 - Methods for Evaluating Data Quality

Week 12 - Indirect Estimation Methods

Week 13 - Multistate Increment-Decrement Processes

Final Examination - Examination Due Wednesday, April 30 by 5 PM.


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