About the Workshop
In this workshop Paco will share some tips and tricks on how to make the most of the statistical software package Stata. He will focus on some features which remain under utilised by the average user. If invoked appropriately, such features can help accomplish tasks more efficiently and effectively, saving time and/or reducing the possibility of human error.
The workshop will touch on topics such as: loop structures; global and local macros; egen and string functions; tools to export results out of Stata; basic .ado programming; and how to draw cats in Stata. Parts of the workshop cover fairly complex materials. Hence, the session is primarily aimed at people who have some working knowledge on Stata, or advanced knowledge in other software packages. Beginners are also welcome, as they will be able to identify features that they may be able to use in the future. During the session, participants will be encouraged to ask questions and share their experiences. At the end, time permitting, Paco will ask participants to share issues/challenges they may be experiencing in their daily use of Stata for class discussion and to identify potential solutions.
About the Presenters
Dr Francisco Perales has a background in Sociology and Social Statistics. He holds an undergraduate degree in Sociology from London Metropolitan University, a Masters degree in Sociology and Panel Data Analysis from the University of Essex, and a PhD in Social and Economic Research from the Institute for Social and Economic Research. His research revolves around issues of gender, work, and families, with a particular interest in the roles of gender, skills, and occupation in creating and perpetuating gender-based inequality at home and at work. His work rests heavily on the analysis of complex survey data, especially longitudinal and panel datasets. Recently, Dr Perales was awarded an ARC Discovery Early Career Researcher Award (DECRA) to undertake a project which will provide new systematic Australian evidence of social stratification by sexual orientation across a diversity of life domains, and identify mechanisms driving the associations between sexual-minority status and life outcomes.