Exper-Metrics: Behavioral & Expirmental Econometrics
The lessons from behavioral economics have ameliorated social wellbeing and economic success in recent years. Academics and policymakers now recognize that integrating how individuals behave and make decisions in real-life dramatically improves the effectiveness of public policies and the validity of simple theoretical models. Thus, this area of research has enhanced our understanding of the barriers to decision-making and led to the emergence of a wider and richer theoretical and empirical framework to inform human decision making.
M&S Research Hub organizes comprehensive structured training for researchers, graduate students, practitioners, and scientists at all proficiency levels to teach foundations on behavioral economics and how their instruments can help improve social and economic outcomes in problems found in modern public policy. Similarly, the training will establish statistical and econometric techniques (and commands) to secure the correct implementation of interventions, and the assessment of their results.
Feb / - Normal Group (7-10 participants)
May / - Normal Group (7-10 participants)
October / - Normal Group (7-10 participants)
It was excellent training for me. I think Dr. Arhsian is the best in his field. He is a well-qualified person. I will recommend this institute for all my colleagues if they need it
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After finishing the first module, I decided to to do all modules because the first one has opened my mind, because here in Zambia there is no university or college where they offer as full program they way you offer it, it only comes as a course to those who are doing economics.
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Behavioral and Experimental Training Program
A fully-fledged intensive training on the fundamentals of behavioral intervnetions and experimental approaches for econometric modeling and data analysis using STATA.
Duration: Approx. 17 Hours
Training Mode: Normal group (7-10 trainees), small group (2-5 trainees), and one-to-one
Platform: online (Zoom)
Training content is systematic and structured as follows:
2. Experimentation Using STATA
What is Nudging?
Toolkit of instruments
Engagement Mechanisms, Default Options ( defaults ), Social Comparison (descriptive and prescriptive), Reminders, Framing
Methodological note: Framework on definition, diagnosis, design, and evaluation to implement behavioral interventions.
Practical case-study: Real-life behavioral intervention, such as the evaluation of whether a system of message reminders can improve the treatment against life-threatening diseases
Exploration of data: outcome variables, patient-level, and household characteristics, and descriptive results
Resolution of exercise in STATA: showcasing commands for balancing, descriptive treatment analysis, and econometric robustness.
3.Lessons learned in Public Policy
Behavioral insights from case studies: The review will include a wide range of activities and fields such as:
· Consumer protection,
· Financial products,
· Health and Safety,
· Labour Market,
Luis Artavia-Mora is the managing director of the behavioral and decision science program at the University of Pennsylvania (USA).
Luis holds a Ph.D. in Behavioral and Development Economics from the Erasmus University of Rotterdam (The Netherlands), and a MA in Development Economics (EUR, The Netherlands). He is a Behavioral Scientist with over 8 years of international experience as a manager, researcher, and consultant of social and behavioral change initiatives in public and private institutions in international development.