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Also, variables form matched firms like number of people, doctors, etc, and city name, are missing seemingly at random.
Egan walked me through the SQL code that generates de matched dataset. We made a more precise count of coinvestors. Before, we were double counting funds. Now, if a PortCo had only one VC fund investment, numcoinvestor == 0.
 
Looking into the syntethic variables problem, the main problem is on the variables synsumprevsameindu100 synsumprevsameindu20 synsumprevsameindu synsumprevsamesector synnumprevportcos syntotsameindu100 syntotsameindu20 syntotsameindu syntotsamesector.
 
They basically count the number of PortCos VCs invested that were in the same industry code as them, before meeting the current matched POrtCo (synsum*) and over all time (syntot*). So they are integers and tot >= sum. However, for the synthetic firm ones, they are mostly -1 on the sum ones, and missing on tot ones.
 
Looking at the code that generates these synthetic, there seems to be a problem when joining and subtracting one to the sum of dummies where A.code100 = B.code100 for example. Can't figure out how to correct it yet.
'''2018-06-21:'''
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