How to Design a Novel Replicative Study?

“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.

Learn about the workshop and moderator at https://www.ms-researchhub.com/home/events/workshops/econometric-replication.html

References:

http://www.economics-ejournal.org/special-areas/replications-1

https://www.deakin.edu.au/__data/assets/pdf_file/0007/1198456/WhatMeta-AnalysesReveal_WP.pdf

https://link.springer.com/article/10.1007/s11301-018-0149-3

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One thought on “How to Design a Novel Replicative Study?”

  1. Oh my goodness! an amazing write-up dude. Thanks a ton Nonetheless I will be experiencing problem with ur rss . Don’t know why Not able to enroll in it. Could there be everyone finding identical rss dilemma? Anyone who knows kindly respond. Thnkx

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