Development and History
Development and Economic History
Members of the Development and Economic History Research Group combine archival data, lab-in-the-field experiments, randomized controlled trials, text analysis, survey and secondary data along with theoretical tools to study issues in development and economic history. Faculty and students work in the field in South Asia, China and Africa as well as doing archival work in libraries across Europe and Asia.
Almost all faculty are members of CAGE in the economics department and some are also members of Warwick Interdisciplinary Centre for International Development (WICID). There is a regular weekly external seminar, two weekly internal workshops, and high quality research students. We also organise international conferences on campus, or in Venice.
Our activities
Development and Economic History Research Group Workshop/Seminar
Monday: 1.00-2.00pm
For faculty and PhD students at Warwick and other top-level academic institutions across the world. For a detailed scheduled of speakers please follow the link below.
Organisers: Bishnupriya Gupta and Claudia Rei
People
Academics
Academics associated with the Development and Economic History Research Group are:
Research Students
Events
Econometrics Seminar - Yuya Sasaki (Vanderbilt)
Title: On the Inconsistency of Cluster-Robust Inference and How Subsampling Can Fix It
Abstract: Conventional methods of cluster-robust inference are inconsistent in the presence of unignorably large clusters. We formalize this claim by establishing a necessary and sufficient condition for the consistency of the conventional methods. We find that this condition for the consistency is rejected for a majority of empirical research papers. In this light, we propose a novel score subsampling method that achieves uniform size control over a broad class of data generating processes, covering that fails the conventional method. Simulation studies support these claims. With real data used by an empirical paper, we showcase that the conventional methods conclude significance while our proposed method concludes insignificance.