|Venue:||University of Sydney Business School
|Dates:||February 8–12, 2016|
You may attend any one or any combination of the following days:
Monday, February 8:
Working efficiently with Stata by Demetris Christodoulou, MEAFA General Convener
This day assumes no previous knowledge of Stata 14. It describes the environment of Stata, its limitations and strengths, and core syntactic features. It demonstrates ways of working efficiently with Stata, including the use of logs and do-files. It discusses key principles and presents tools for developing work that is reproducible and verifiable. The day is of interest to those who are new to Stata 14 or have limited experience with earlier versions of Stata. It is also useful to more experienced users who wish to attain a more structural understanding of Stata from first principles.
Tuesday, February 9:
Introduction to programming by Demetris Christodoulou, MEAFA General Convener
This day assumes working knowledge of Stata 14 but no knowledge of programming with Stata or any other software. By the end of this day you will be able to produce efficient, tractable and automated routines for data management, statistical analysis and estimation, creation of tables and graphs. The day covers key programming tools (saved results, stored restults, macros, scalars, loops), and the fundamentals of building your own commands in Stata (programs or ado-files). This day is appropriate to those who wish to attain a deeper knowledge of Stata and achieve the aforementioned attributes in their work. This day assumes knowledge of the material presented in Day 1.
Wednesday, February 10:
Management of Raw Data by Demetris Christodoulou, MEAFA General Convener
This day assumes working knowledge of Stata and basic programming skills but not of data management. The day demonstrates ways to import and export different data formats. It demonstrates the management of numerical variables, string variables and date/time variables, and the implications of missing values. It explores key data structures including cross-sectional, time-series and panel data in long and wide formats. It covers the management of data attributes, the organisation of data and the importance of metadata. It also demonstrates strategies for working efficiently with very large datasets. Dataset organisation, archiving, combinations, and transformations will also be discussed. If you have no or limited experience with Stata 13 then you are strongly advised to attend Day 1 first. Some programming tools will also be applied from Day 2 (stored results, macros, scalars and loops).
Thursday–Friday, February 11–12:
Panel Data Analysis by Vasilis Sarafidis, Department of Econometrics at Monash University
These two days assume working knowledge of Stata and basic knowledge of econometrics. The first part begins with a discussion on panel data fundamentals and presents key Stata operations for specifying panel data structure and exploring variation in a longitudinal setting. It then lays the foundations for panel data analysis with a discussion on fixed effects, between effects and random effects, within a static linear framework. It then proceeds to present the problem of endogenous regressors in panel data, plus other misspecification like cross-sectional dependence and serial correlation. Then it discusses dynamic panel data specifications with lagged dependent variables, and the method of Generalised Method of Moments for developing workable models. The second part begins with non-linear panel models using fixed effects or random effects, for binary responses and count responses. It then goes into the realm of mixed/multilevel models with hierarchical panel data, and presents models with random intercepts, random coefficients, and crossed effects. It concludes with a discussion on generalised linear models with mixed/multilevel effects applied to different families and link functions that also allow for complex treatment of correlation structures. If you have no experience with Stata then you are required to atttend at least Day 1.
For more information, including a detailed program, or to register, visit sydney.edu.au/business/research/meafa/workshops/feb2016.