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.
This framework builds on fields such as sociology, anthropology, psychology, economics, and political science. Two of the last four Nobel Prizes in Economics (2017 and 2019) have been awarded to Behavioral and Experimental economists working also on development-related problematics. The wider results from this body of work have been used by academics, governments, and international organizations to design evidence-based policies in a wide range of activities such as finance, tax collection, healthcare, education, energy consumption and human cooperation.
Based on this relevance, the present workshop aims 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 workshop will establish statistical and econometric techniques (and commands) to secure the correct implementation of interventions, and the assessment of their results.
“A replication study attempts to validate the findings of a published piece of research. By doing so, that prior research is confirmed as being both accurate and broadly applicable”
A replication process generally consists of two parts. The first part is concerned with reproducing key findings from the original study. If this step was successful, the next part will be performing robustness checks. Meta-analysis reveals another side of replicating published research. Meta-based studies survey the empirical results of a group of published papers attempting to test three key dimensions— statistical power, selective reporting bias, and between-study heterogeneity.
From the perspective of contributing to scientific research, replication studies are important for the continued progress of science. Given the relative scarcity of replication studies and in recognition of the importance of these methods, there has been increasing attention by editors of A-class journals (American Economic Review, Journal of Political Economy, Review of Economic Studies, Journal of Applied Econometrics) in publishing replicative studies.
The one-day intensive online workshop on 29 June 2020 by “Econometric Replication: Methods & Guidelines for Designing a Replicated Study” will teach you theoretically and practically how to design a novel replicated study.