* I would like to thank Frank Dobbin, Christopher Marquis, Peter ...
I present seven logit models for pricing above the range: model 1 with only control variables, model 2 with Income logic, model 3 with Growth logic, model 4 representing the full model with both institutional logic variables, model 5 controlling for offering year fixed effects, model 6 additionally clustering issuers by four-digit SIC codes with REML estimation, and model 7 replacing the Baker-Wurgler index with five constituent proxies. As indicated by the logistic regression of pricing above the range (see Table 3), the Income institutional logic significantly reduces the log odds of pricing above the range (estimated coefficients of -0.75 to -1.29 across all five models, significant at either p
models, significant at p
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