Exper-Metrics: Behavioral & Experimental Econometrics
A comprehensive 17-hour 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 using STATA. Receive a certificate upon completing this live training.
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Behavioral and Experimental Course Structure
A fully-fledged intensive training on the fundamentals of behavioral interventions 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)
Extra benefits:
- Certified certificate after completing the training
- 10% trainee discount on future bookings
- Eligible to submit their papers at MSR working paper series (SSRN and RePEc indexed).
Training content is systematic and structured as follows:
1.Theoritical Fundamentals
- Historical development
- Differences between classical and behavioral theory
- Areas of application
- Relevance in modern public policies
- Choices and Preferences
- Loss aversion, time inconsistency, social norms, reciprocity, status quo, etc.
- Beliefs, Overconfidence, optimism bias, availability bias, representativity, etc.
- Information Processing
- Dual-process theory, hassle factors, prominence, framing effects, etc.
2. Experimentation Using STATA
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What is Nudging?
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Toolkit of instruments
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Engagement Mechanisms, Default Options ( defaults ), Social Comparison (descriptive and prescriptive), Reminders, Framing
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Methodological note: Framework on definition, diagnosis, design, and evaluation to implement behavioral interventions.
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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
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Exploration of data: outcome variables, patient-level, and household characteristics, and descriptive results
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Resolution of exercise in STATA: showcasing commands for balancing, descriptive treatment analysis, and econometric robustness.
3.Lessons learned in Public Policy
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Behavioral insights from case studies: The review will include a wide range of activities and fields such as:
· Consumer protection,
· Education,
· Energy,
· Environment,
· Financial products,
· Health and Safety,
· Labour Market,
· Tax.
- Q&A and way forward
3.
Meet The
Moderator
Luis 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.
About Behavioral Econometrics
The lessons from behavioral economics have ameliorated social well-being 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.
In the context of econometrics, behavioral models may involve accounting for factors such as bounded rationality, cognitive biases, and social influences when estimating relationships and making predictions. Researchers in behavioral econometrics use a variety of techniques, including experimental data, surveys, and observational data, to better capture and understand the complexities of human decision-making.
Overall, behavioral econometrics bridges the gap between economic theory and observed behavior, providing a more nuanced and realistic approach to modeling economic agents.
Learning by Researching TM
Reviews
"Experienced Trainers"
Gabriel Arrieta
Catholic University of Peru, Peru
Excellent training
"Mind-Blowing Learning opportunity"
George Chanda
Petroluem Limited, Zambia
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.
Training Calendar
2025
April /Normal Group
October / Small focus Group
Start your Learning Journey Today!
Free Consultancy
+49 0 17686387586
info@ms-researchhub.com
+49 0 15225886301
Training Mode and Registration
Online and Live
Group Training
- Experience live interactions with expert instructors.
- Gain free access to all course materials, slides, and codes.
- Learn and apply concepts through real-world data examples.
- Receive a certificate of completion upon attending all live course sessions.
- Choose your preferred intake: April or October. The training typically occurs on weekends to accommodate busy schedules.
Standard / Student
690 EUR / 362 EUR
Online and Live
Private Training
- Experience personalized, one-to-one interactions with an expert instructor.
- Gain complimentary access to all course materials, slides, and codes.
- Tailor your learning objectives to align with your research and project requirements.
- Learn and apply concepts using your preferred real-world data examples.
- Receive a certificate of completion after finishing the course
- Enjoy flexibility in organizing the start and pace of the course.
1350 EUR
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