Question 10 2 pts You have a data set of companies' annual financial reports, measured over time. You are regressing the logarithm of their sales
Question 10 2 pts You have a data set of companies' annual financial reports, measured over time. You are regressing the logarithm of their sales on a set of fixed effects for companies, as well as whether their CEO has an MBA at the time. In(Salesat ) = Bi + BiCEOhasMBAit + Eit Your estimate of the B1 coefficient is .08 Interpret this .08 as precisely as possible. Don't forget: 1. CEOhasMBA is binary 2. The dependent variable is logged 3. There are firm fixed effects A good answer should be consistent with (and acknowledge, where appropriate), all three of these things. Edit View Insert Format Tools Table 8pt V Paragraph BIUA &V T2 V . . . p BERCE * 0 words > <
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