Introduction to STATA

Short Bio Anže Burger is assistant professor at the Faculty of Social Sciences, University of Ljubljana. His research topics include international trade, international factor movements, international business, and industrial policy. Apart from academic teaching and research, he also carried out several consulting projects and worked for the Ministry of Finance of the Republic of Slovenia. He has been using Stata intensively for his work for more than 12 years. Prerequisite knowledge Prerequisites: computer file management within Microsoft Windows, knowledge of elementary statistics, no prior knowledge of Stata is required. Note from the Academic Convenors to prospective participants: by registering to this course, you certify that you possess the prerequisite knowledge that is requested to be able to follow this course. The instructor will not teach again these prerequisite items. If you doubt whether you possess that knowledge to a sufficient extent, we suggest you contact the instructor before you proceed to your registration. Short course outline This is an introductory course on the use of Stata, one of the most widely used professional statistical packages. The software is used in many fields of research, from accounting to zoology, it is fast, accurate and easy to use, offers hundreds of statistical tools, has excellent technical support and huge online user community. The course will be based on three pillars: 1) introduction to Stata environment and commands 2) application and interpretation of basic statistical procedures on actual data, and 3) introduction of basic programming in Stata do-file environment. The approach will follow the outline of a typical empirical research process: importing, transforming and summarizing data, running basic statistical methods, and producing graphs and maps. Short outline: introduction to the Stata working environment, overview of Stata’s statistical, graphical and data management capabilities, loading data into Stata from non-Stata formats, merging and appending datasets, changing the shape of your data, transforming variables, creating summary statistics and cross tabulations, producing and editing graphs, producing maps, introduction to Stata programming in dofile environment, solving short exercise on your own.