EC969-7-SP-CO: Applications Of Data Analysis
Essex credit: 20
ECTS credit: 10
Available to Study Abroad / Exchange Students: Yes
Full Year Module Available to Study Abroad / Exchange Students for a Single Term: No
Outside Option: No
Dr Birgitta Rabe
Dr Birgitta Rabe
For further information, send a message to email@example.com
|Module is taught during the following terms
The aims of the module are threefold. The first aim is to introduce
students to applications of longitudinal data analysis based
on microeconometric techniques. The second aim is to instruct students
in the basics of survey methodology, including issues such as attrition,
response rates, sampling frames and weighting. The third aim is to
develop an understanding of the links between the predictions of
economic theory and empirical implementation of such theory using longitudinal data. To deepen students understanding, the whole
course is based on the lab, where students perform supervised practical
analyses of longitudinal data (specifically on the British Household Panel Survey) and familiarise with basic PC statistical programs (STATA).
The module has three parts:
1 An introduction to different types of panel datasets and their issues,
and to the statistical software.
2 An introduction to survey methodology, with particular focus on
attrition, response rates, sample frames, and weighting.
3 Applications of panel data methods to the study of labour markets,
with particular focus on marriage, unemployment and wages.
Feedback for this module will occur through class meetings where we will go over the answers to problem sets and where you will be able to ask questions about your own method of solution; answers that will be posted on the website for the module that will give you written guidance on the appropriate method to approach the problems, assignments, and tests; and office hours where any additional questions can be addressed. You should be sure that you use these methods to understand how to improve your own performance.
Learning and Teaching Methods
4 hours lecture per week Weeks (21 - 25) all in the lab.
Whichever is the Greater:
EITHER 50 per cent Coursework Mark, 50 per cent Exam Mark
OR 100 per cent Exam Mark
One term paper (compulsory)
Exam Duration and Period
2:00 during Summer Examination period.
MSc in Applied Economics and Data Analysis
The material for this module has changed for this academic year, please check the module outline available via the CMR for details.
- Required Reading:
- AAPOR (The American Association for Public Opinion Research) (2011) Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. 7th edition.
- Arulampalam W. (2001), “Is Unemployment Really Scarring? Effects of Unemployment Experiences on Wages” The Economic Journal 111(475): F585-F606.
- Arulampalam W., Booth A.L. and Taylor M.P. (2000) “Unemployment Persistence” Oxford Economic Papers 52(1): 24-50.
- Becker, G. (1973) “A Theory of Marriage: Part I” The Journal of Political Economy 81: 813-846.
- Clark, A.E. (2003) “Unemployment as a Social Norm: Psychological Evidence from Panel Data” Journal of Labor Economics 21(2): 323-351.
- Gregory M. and Jukes R. (2001) “Unemployment and Subsequent Earnings: Estimating Scarring among British Men 1984-94” The Economic Journal 111(475): F607-F625.
- Haisken-DeNew J.P. (2001) “A Hitchhiker's Guide to the World's Household Panel Data Sets” The Australian Economic Review 34(3): 56-366.
- Heckman J.J. and Borjas G. (1980) “Does Unemployment Cause Future Unemployment? Definitions, Questions and Answers from a Continuous Time Model for Heterogeneity and State Dependence” Economica 47: 247-283.
- Jenkins, S.P. (2008) “Marital splits and income changes over the longer term” ISER Working Paper No. 2008-07.
- Lambert P.S. (2006) “The British Household Panel Survey: Introduction to a Longitudinal Data Resource”, Working Paper 2 of Longitudinal Data Analysis for Social Science Researchers, ESRC Researcher Development Initiative training programme.
- Lichter D.T., McLaughlin D.K., Kephart G. and Landrey D.J. (1992) “Race and the Retreat from Marriage: A Shortage of Marriageable Men?” American Sociological Review, 57(6): 781-799.
- Light A. (2004) “Gender Differences in the Marriage and Cohabitation Income Premium” Demography 41(2): 263-284.
- Oppenheimer V.K. (1988) “A Theory of Marriage Timing” American Journal of Sociology 94(3): 563-591
- Winkelmann L. and Winkelmann R. (1998) “Why Are the Unemployed So Unhappy? Evidence from Panel Data” Economica 65(1): 1-15.
- Additional Reading:
- Background Reading: Econometrics and Statistics Textbooks
- Baltagi B.H. (2009) Econometric Analysis of Panel Data. London, Wiley.
- Greene W.H. (2003) Econometric Analysis, Fifth edition, Prentice-hall, London. (Chapter 13 is on Panel Data)
- Groves R.M., Fowler F.J.Jr, Couper M.P., Lepkowski J.M., Singer E. and Tourangeau R. (2004) Survey Methodology. Wiley. (Chapters 2, 3 and 4)
- Hill R.C., Griffiths W.E. and Lim G.C. (2008) Principles of Econometrics, Wiley. (Chapter 15 is on Panel Data)
- Levy P.S. and Lemeshow S. (1999) Sampling of Populations: Methods and Applications, Wiley.
- Salkind N.J. (2004) Statistics for people who (think they) hate statistics, Sage Publications. Very basic; for those who have no econometric background. New 2011 edition available.
- Verbeek M. (2008) A Guide to Modern Econometrics, John Wiley & Sons, Chichester. (Chapter 10 is on Panel Data)
- Wooldridge J.M. (2002) Econometric Analysis of Cross Section and Panel Data, MIT Press. (Chapters 4, 5 and 6 discuss linear cross-sectional models and Chapter 10 introduces Panel Data)
- Background Reading: Introductions to STATA
- Adkins L.C. and Hill, R.C. (2008) Using Stata for Principles of Econometrics, Wiley. (Use it as very basic introduction, but remember that the book puts too much emphasis on drop-down menus and not enough in the syntax of the commands)
- Baum C.F. (2006) An Introduction to Modern Econometrics Using Stata, STATA Press.
- Cameron A.C. and Trivedi P.K. (2010) Microeconometrics using Stata, Stata Press.
- Kohler U. and Kreuter F. (2009) Data analysis using Stata, Stata Press.
- Long, J. S. (2009) The Workflow of Data Analysis Using Stata, Stata Press.
- Longhi S. and Nandi A. (2015) A Practical Guide to Using Panel Data, Sage.
- Pevalin D. and Robson K. (2009) The Stata Survival Manual, McGraw Hill, New York.