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Urban Start-up Agglomeration and Venture Capital Investment (view source)

1,753 bytes added , 18:14, 11 September 2019

*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.

Working off this regression:

xtreg growthinv17lf nohull nohullsq frachull frachullsq tothullarea tothullareasq avghulldisthm avghulldisthmsq, be

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growthinv17lf | Coef. Std. Err. t P>|t| [95% Conf. Interval]

----------------+----------------------------------------------------------------

nohull | .3839447 .0563233 6.82 0.000 .2727974 .495092

nohullsq | -.0098748 .0024791 -3.98 0.000 -.014767 -.0049826

frachull | -1.695035 2.044876 -0.83 0.408 -5.730354 2.340284

frachullsq | -.6243502 1.534811 -0.41 0.685 -3.653117 2.404416

tothullarea | -.0007168 .0003133 -2.29 0.023 -.001335 -.0000985

tothullareasq | 1.44e-07 5.52e-08 2.60 0.010 3.48e-08 2.53e-07

avghulldisthm | .0157895 .0068875 2.29 0.023 .0021978 .0293813

avghulldisthmsq | -.0001506 .0000556 -2.71 0.007 -.0002602 -.0000409

_cons | 3.629909 .5882279 6.17 0.000 2.469112 4.790707

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In 2017, Houston had the following characteristics:

year layer growthinv17 growthinv17l nohull nohullsq frachull frachullsq tothullarea tothullareasq avghulldisthm avghulldisthmsq

2017 20 76.533 4.350703652 7 49 0.595744681 0.354911725 268.2674944 71967.44853 100.6191636 10124.21608 1

0.3839447 -0.0098748 -1.695035 -0.6243502 -0.0007168 1.44E-07 0.0157895 -0.0001506 3.629909

2.6876129 -0.4838652 -1.009808085 -0.221589206 -0.19229414 0.010363313 1.588726284 -1.524706942 3.629909 4.484347923 88.61914544

====Group Means Regression====

7,649

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