## COURSES

## DECOMPOSITION METHODS IN DEMOGRAPHY

### General Information

**Aim:**

This course is predominantly an applied demographic course, with emphasis on statistical theory only when needed. It aims to provide the basic theoretical and operational concepts to the student about Formal Decomposition Methods in Demography. The course will cover the review of key demographic (cohort, the Lexis diagram, fertility, mortality and migration) and statistical concepts (rates, ratios, proportions and probabilities), the interpretation and mechanics of the Life Table, direct and indirect standardization, decomposition of rates and proportions (with the methods proposed by Kitagawa, Cho & Retherford, Kim & Strobino, and Das Gupta), decomposition of the life expectancy at birth (with the methods proposed by Chandra Sekar, Arriaga, Lopez & Ruzicka, Pollard, and the United Nations), fertility decomposition (with the methods proposed by Kim & Strobino, Das Gupta, Anderson, and Anderson et al.), decomposition of the Total Fertility Rate (the Boongarts method for aggregate data and the Hobcraft & Little method for individual data), decomposition of the change in the Total Fertility Rate (with the method proposed by Gertler & Molyneaux). The empirical part of the course will be executed on both Excel and the R software. I expect that students read the suggested literature specific to standardization and decomposition methods, as well participate in the data laboratory classes. At the end of the course I expect students to be able to understand and apply the methods to specific areas of interest in Demography, Geography, Sociology, Economics, and Health Studies.

**Tests and Grading:**

- Weakly Assignments: Application of the method seen during the week for a particular Brazilian state using Excel or R (5 points each, totaling 70 points)
- Final test: synchronic presentation of results from the methods covered during the course to the student’s state – 20 minutes presentation (30 points)

**Class Format:**

Synchronous classes:

*Videoclasses in the Youtube Chanel (MDD) and material posted on UFMG Moodle*

Tutoring hours: Wednesday, 07:30 am to 08:30 pm

**More details: **

Download the complete syllabus here. Download

### Data & Videoclasses

### Compulsory Reading (Textbook)

Chapter 1 – The nature of econometrics and economic data.

Chapter 2 – The simple regression model.

Chapter 3 – Multiple Regression Analysis: Estimation.

Chapter 4 – Multiple Regression Analysis: Inference.

Chapter 6 – Multiple Regression Analysis:Further Issues.

Chapter 7 – Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables.

Chapter 8 – Heteroskedasticity.

### Weekly Assignments

Chapter 1 – Problems and Computer Exercises.

Chapter 2 – Problems and Computer Exercises.

Chapter 3 – Problems and Computer Exercises.

Chapter 4 – Problems and Computer Exercises.

Chapter 6 – Problems and Computer Exercises.

Chapter 7 – Problems and Computer Exercises.

Chapter 8 – Problems and Computer Exercises.

Chapter 9 – Problems and Computer Exercises.

Chapter 15 – Problems and Computer Exercises.

### Teaching Assistant's Material

### Video Classes

### Extra Materials

How to accommodate nonlinearities in LRM (variables transformation).

Confidence Interval using Profile Likelihood (profile-likelihood-ci).

Student’s material for Wooldridge’s book.

Fundamentals of Mathematical Statistics.

### References

#### Textbooks

Jeffrey M. Wooldridge *Introductory Econometrics: A Modern Approach*, 6th Edition, CENGAGE Learning, 2012.

Florian Heiss *Using R for Introductory Econometrics*, 1st Edition, Published using the independent publishing platform CreateSpace, 2016.

#### Same Level Reference Books

Kennedy, P. *A Guide to Econometrics*, Sixth Edition John Wiley & Sons, 2008.

Baum, C. *An Introduction to Modern Econometrics Using Stata*, Stata Press 2006.

Stock, J.H and M. W. Watson *Introduction to Econometrics*, 2nd ed., Addison-Wesley, 2006.

Hill, R. Carter, Griffths, William E. and Lim, Guay C. *Principles of Econometrics, *3rd ed., John Wiley & Sons, 2008.

#### Advanced Readings

Goldberger, A. S. *A Course in Econometrics **1st US Edition 4th Printing Edition*, Harvard University Press, 2000.

Greene,W.H. *Econometric Analysis*, Seventh Edition, Pearson/Prentice Hall, 2012.

Woodridge, J. *Econometric Analysis of Cross Section and Panel* *Data*, 2nd Edition,* *MIT Press, 2010.

Long, S. and J. Freese *Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences)*, 1nd Edition, Sage Publications, 1997.

Badi H. Baltagi *Econometric Analysis of Panel Data*, 4th Edition, Wiley, 2008.

James W. Hardin, Joseph M. Hilbe *Generalized Linear Models and Extensions*, 2nd Edition Stata Press, 2006.

Colin Cameron, Pravin K. Trivedi *Regression Analysis of Count Data,* Cambridge University Press, 1998.

John P. Hoffmann *Generalized Linear Models: An Applied Approach,* Pearson, 2004.

Cheng Hsiao *Analysis of Panel Data*, 2nd Edition, Cambridge University Press, 2003.