Universidade do Minho: Campus de Gualtar
NIPE is pleased to announce its upcoming research training course Data Visualisation for Econometric Policy Evaluation, taught by Andrew M Jones (U. York).
The course runs from 20 to 22 September in room -1.26. There will be two two-hour sessions each day, one in the morning and the other in the afternoon: 10:00 to 12:00 AM and 2:00 to 4:00 PM.
This workshop focuses on the principles and practical application of data visualisation and how statistical graphics can enhance applied econometric analysis and policy evaluation.
Applications include econometric methods for prediction and forecasting, risk adjustment, resource allocation, technology assessment, and policy evaluation. Methods for policy evaluation include: regression methods, doubly robust and machine learning approaches; instrumental variables and methods for panel data, including differences-in-differences, synthetic controls and extensions.
Practical examples will show how these methods can be applied, and the course outlines a grammar of graphics in Stata.
To register, please send an e-mail to: firstname.lastname@example.org
Andrew Jones is Professor of Economics at the University of York, UK, where he was Head of the Department of Economics and Related Studies from 2011 to 2015. In the RePEc rankings, he is ranked in the top 2% of over 64,000 economists worldwide.
Andrew does research in microeconometrics and health economics with particular interests in the determinants of health, the economics of addiction and socioeconomic inequalities in health and health care.
He is the research director of the Health, Econometrics and Data Group (HEDG) at the University of York and has been a visiting professor at Monash University and the University of Bergen. He was co-editor of Health Economics from 1999 to 2019, an elected member of the International Health Economics Association (iHEA) Executive Board from 2011 to 2014, and president of the European Health Economics Association (EuHEA) during 2016-18. He was awarded a Leverhulme Trust Major Research Fellowship 2017-20.