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Urban Start-up Agglomeration and Venture Capital Investment (view source)
Revision as of 11:24, 10 August 2022
, 11:24, 10 August 2022no edit summary
This paper is published as:
[[Delineating Spatial Agglomerations|Egan, Edward J. and James A. Brander (2022), "New Method for Identifying and Delineating Spatial Agglomerations with Application to Clusters of Venture-Backed Startups.", Journal of Economic Geography, Manuscript: JOEG-2020-449.R2, forthcoming.]]
{{AcademicPaper
|Has title=Urban Start-up Agglomeration and Venture Capital Investment
==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
* 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.
* Permanent link for code/data: https://www.edegan.com/wiki/Delineating_Spatial_Agglomerations
The paper is now in production. I will build a wiki page called [[Delineating_Spatial_Agglomerations]] that structures the documentation of the build process and shares code and some data or artifacts. Currently, that page redirects here.
== R&R ==
=Old Work Using Circles=
See: [[Enclosing Circle Algorithm]]
==Very Old Summary==
