Policy evaluation, Strategic analysis, Data analysis and Trainings
We make data speak.
We filter and process data based on econometric or input-output models providing robust and statistically significant conclusions. The types of analysis that can be implemented are:
(1) Linear regression models (cross-section pool)
(2) Sample selection bias models (Heckman correction)
(3) Models with instrumental variables
(4) Discrete choice models (probit/logit)
(5) Linear panel data models (fixed effects, random effects …)
(6) Dynamic panel data models (GMM)
(7) Impact Models (input-output)
We provide short intensive trainings for researchers and academics from High Education Institutions, for policymakers and government practitioners, NGOs and other organisations. The purpose of the courses is to provide with the tools necessary to analyse data and to form a good basis for your decision-making process.
All courses include theoretical and practical modules that can be taught in English, Russian, Spanish, Galician or bilingual. Practical modules can be conducted in Gretl (very intuitive open-source software), R (less intuitive but powerful open-source software) and Stata (powerful software for data science needs).
Introduction to research techniques
Introduction to econometric models and
Introduction to linear regression (OLS)
Introduction to panel data (random and fixed effects)
Introduction to discrete choice models (probit and logit)
Introduction to Dynamic Data panel (GMM)
Introduction to LaTeX: write your paper and make your presentation beamer
If you need more information about our courses, feel free to send us an email, we will be pleased to help you
AYeconomics is an independent international research and consultancy organisation. AYeconomics promotes innovative research in economics and social science.