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|Has paper status=In developmentPublished

==NoticeFinal Version== *The final version was accepted to Research Policy on May 17th, 2021. *The 50-day share link is: https://authors.elsevier.com/a/1d8SaB5ASINVf *The title was changed to "A Framework for Assessing Municipal High-Growth High-Tech Entrepreneurship Policy" <pdf>File:Egan_(2021)_-_A_Framework_for_Assessing_Municipal_High-Growth_High-Tech_Entrepreneurship_Policy.pdf</pdf> The BibTeX reference is (pending update with volume and number):  @article{EGAN2021104292, title = {A framework for assessing municipal high-growth high-technology entrepreneurship policy}, journal = {Research Policy}, pages = {104292}, year = {2021}, issn = {0048-7333}, doi = {https://doi.org/10.1016/j.respol.2021.104292}, url = {https://www.sciencedirect.com/science/article/pii/S0048733321000937}, author = {Edward J. Egan}, keywords = {Entrepreneurship, Ecosystem, Measurement, High-growth high-technology, Venture capital, Ecosystem support organization, Pipeline, Raise rate, Policy cartel}, abstract = {This paper advances a framework for making rudimentary need, impact, and cost–benefit assessments of municipal high-growth high-tech entrepreneurship policy. The framework views ecosystem support organizations like accelerators, incubators, and hubs as components in a city’s venture pipeline. A component’s pipeline size, raise rate, and cost per raise measure its performance. In total, the framework consists of eight objective and reproducible measures based on quantities and qualities of venture capital investment and 16 definitions of related terms-of-the-art. These measures and definitions are illustrated in 26 real-world policy examples, which assess initiatives in Houston and St. Louis over the last 20 years. The examples reveal an enormous variation in welfare effects, and some policies appear welfare destroying. Many non-profit organizations claim success (and win awards and acclaim) using non-standard measures despite performing at less than half benchmark levels. Policy cartels, which control startup policy in many U.S. cities, also engage in non-market actions to protect their rents.} } The final file series was v4-6-2 in: E:\projects\MeasuringHGHTEcosystems /bulk/vcdb4 Egan (2021) - A Framework for Assessing Municipal High-Growth High-Tech Entrepreneurship Policy.pdf

This paper was broken in twoProduction files (sent to ResPol):*Measuring HGHT Entrepreneurship EcosystemsMeasuringHGHTEntrepreneurshipEcosystemsV4-6-2.tex*MeasuringHGHTEntrepreneurshipEcosystemsV4-6-2-TitlePage.tex*References.bib*HoustonPipelineV4.png*Determinants of Future Investment in UHoustonVCRaiseRateWithBenchmarkV4.Spng*econ. Startup Citiesbst

===Instrument for Determinants=Notice==

I am going to try shocking the number of ESOs using the political party of the incumbent mayor. Data is available fromThe original Measuring HGHT Entrepreneurship Ecosystems paper was broken into two:*https://libguides.princeton.edu/elections#s'''A Framework for Assessing Municipal High-lgGrowth High-box-10082744**https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SJBWC3***FIPS, year (non-continuous -- election years), mayor_party_final (D,RTechnology Entrepreneurship Policy''' now contains the definitions, etc.), month, FIPS_Place_IDmeasures, and othersexamples... From 1945 to 2014!****FIPS It is 6 or 7dg (107000 BIRMINGHAM CITYan inductive, AL to 5613900 CHEYENNE CITY, WY)case-study paper. FIPS_Place_ID is 4 to 5dg (7000 to 13900)****compare with placefp (5dg) 07000 Burmingham, AL and 13900 Cheyenne, WY, or better still GEOID (used [[Determinants of Future Investment in vcdb4) 0107000 Birmingham, AL and 5613900 Cheyenne, WY*Ballotopia has current mayors for top 100 cities: https://ballotpediaU.S.org/List_of_current_mayors_of_the_top_100_cities_in_the_United_States*httpsStartup Cities]]://doi.org/10.7910/DVN/KFIKH8 -- downloaded mayoralelections_final.tab but it seems a subset The empirical analysis of the above*Could scrape and process https://www.usmayors.org/elections/election-results/ but it doesn't have parties and would need to be geomatchedESOs is now in this paper!

The paper will use uses [[vcdb4VCDB20]] and [[US Startup City Ranking]], as well as a wealth of old McNair material. Sources include (copied to the project folder unless otherwise noted):