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Urban Start-up Agglomeration and Venture Capital Investment (view source)
Revision as of 13:43, 10 July 2022
, 13:43, 10 July 2022→Acceptance
==Acceptance==
On July 5th 2022, the paper wwas accepted to the Journal of Economic Geography:
* Manuscript ID JOEG-2020-449.R2
* Title: A New Method for Identifying and Delineating Spatial Agglomerations with Application to Clusters of Venture-Backed Startups
* Author(s): Edward J. Egan and James A. Brander.
* Editor: Bill Kerr, HBS: wkerr@hbs.edu
The paper is now in production. I will build a wiki page (https://www.edegan.com/wiki/Delineating_Spatial_Agglomerations) that structures the documentation of the build process and shares code and some data or artifacts. Currently, this page redirects here.
***Abstract:***
This paper advances a new approach using hierarchical cluster analysis (HCA) for identifying and
delineating spatial agglomerations and applies it to venture-backed startups. HCA identifies
nested clusters at varying aggregation levels. We describe two methods for selecting a
particular aggregation level and the associated agglomerations. The “elbow method” relies
entirely on geographic information. Our preferred method, the “regression method”, also uses
venture capital investment data and identifies finer agglomerations, often the size of a small
neighborhood. We use heat maps to illustrate how agglomerations evolve and indicate how our
methods can aid in evaluating agglomeration support policies.
== R&R ==
