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Urban Start-up Agglomeration and Venture Capital Investment (view source)
Revision as of 11:26, 11 September 2019
, 11:26, 11 September 2019→Approach
*Create an artificial Houston2017Y layer that moves 1/x of all of Houston's startups into the proposed innovation corridor. Evaluate it!
*Also calculate the expected values for a city with Houston's characteristics (?) and plug those in.
====Group Means Regression====
Once we have found optimum hull specifications within a city, they will not vary, or will vary very little, over time. We therefore want to use a between panel regression, also called a group means regression. See the following:
*The spec on p34 of http://people.stern.nyu.edu/wgreene/Lugano2013/Greene-Chapter-11.pdf
*The explanation at the top of https://stats.stackexchange.com/questions/83462/the-between-estimator-in-panel-data
*https://www.stata.com/support/faqs/statistics/between-estimator/
*The definition in https://www.stata.com/manuals13/xtxtreg.pdf
===Image Analysis===
