Netherlands, Groningen

Stata Tips and Tricks for the Management and Business Researcher

when 24 July 2017 - 28 July 2017
language English
duration 1 week
fee EUR 745

Larger teams of researchers, and more complex datasets that are used for multiple projects imply the need for better documentation and better organization of data and analyses. We will also learn to implement and interpret some statistical/econometric techniques in management/business. To achieve this, we focus on management/business examples where country, firm level, team or individual level data are common units of analysis.

The summer school will consist of morning and afternoon sessions, each session consisting of two 2 hour sessions in the computer labs with STATA installed. We will discuss all aspects of data work, for example, what the best folder structure is, good habits like separating data creation files from analysis files (so we do not change data while running estimations making our work un-replicable). There is also opportunity for participants to get feedback on their own research.

We will also discuss how to translate reviewer remarks and feedback from supervisors into empirical tasks. In this process, we will practice using management/business ‘friendly’ Stata commands such as reshape , merge , outreg2 . Some of us have taken courses in methods using datasets that are small, have no missing values and are in the right format. Other courses offered by StataCorp or other organizations are mainly focused on the specific capabilities of Stata. While both can be extremely helpful, this summer schools teaches practical empirical skills needed for quantitative work in management and business.

Course leader

Dr. Padma Rao Sahib

Target group

This summer school is intended for master, PhD level students. (Junior) Faculty who would like to learn STATA and econometric skills are also welcome. Knowledge of basic statistics and regression analysis is required.

Course aim

This summer school is about learning tips and tricks using Stata to conduct empirical research more effectively and efficiently. We will learn data habits that will help us revise our work efficiently and make it replicable.

Credits info

A certificate of attendance will be awarded

Fee info

EUR 745: The fee (€ 745) includes:
•Participation in the programme
•Coffee/tea and lunches during the course
•City tour and welcoming drinks on Sunday
•Welcome dinner on Sunday
EUR 995: The fee (€ 995) includes:
•Participation in the programme
•Coffee/tea and lunches during the course
•City tour and welcoming drinks on Sunday
•Welcome dinner on Sunday

Register for this course
on course website