Logit analysis of the probability of meeting or exceeding forecasts and the incentives to avoid negative FEs.
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The regression is run on the first and second subsamples. The coefficients and related t-statistics are estimated by using the following model: Prob(meet = 1) = F(α0+α1 AR+α2 FREQ+α3 Difficulty+α4 LMV+α5 MB+α6DA+α7Hightech+α8 Lag_loss+ε). *, **,***Significant at 0.1, 0.05 and 0.01 levels, respectively based on one-tailed tests for signed predictions, two-tailed tests otherwise.
创建时间：
2013-10-17
