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ty, we focus next on Forecast Width for range forecasts, which measures the difference between the maximum and minimum earnings per share figures offered in the forecast. (A narrower width indicates a more specific forecast.) In later tests, we include point forecasts as forecasts with a width of zero. To examine forecast timeliness, we use Forecast Horizon which is the number of calendar days from the management forecast date until the end of the quarter. More days in the forecast horizon indicate more timely forecasts. Finally, we form Annual Frequency and Quarterly Frequency variables, which measure the number of annual and quarterly management forecasts for each of our sample firms in the CIG database from 1994 through 2006, scaled by the total number of possible forecasting years (for Annual Frequency) or quarters (for Quarterly Frequency) to date.

The descriptive statistics and statistical tests for Forecast Form provide initial evidence consistent with family firms issuing significantly more specific guidance than non-family firms. In particular, Forecast Form has slightly higher numerical values, on average, for family firms (p = .028, using the Wilcoxon test).[14] To further explore the potential differences, we examine the frequency distributions of the forms that guidance takes, as presented in Figure 1. As is obvious from the figure, range forecasts are by far the most common form of guidance for both family and non-family firms, making up nearly two-thirds of all guidance in our sample. Further, both family and non-family firms offer approximately 89% of their guidance as point or range forecasts. However, family firms offer relatively more of the more specific point forecasts (28% versus 23% for non-family firms) and relatively fewer of the less specific range forecasts (61% versus 66% for non-family firms).[15] Conversely, guidance in the form of qualitative statements or minimum/maximum earnings per share numbers is unusual in our sample, regardless of the type of firm examined. The small number of qualitative forecasts in our First Call sample is inconsistent with Hutton et al. (2003) and Miller (2002), who find a substantially larger number of such forecasts when hand-collecting their samples than are included in the First Call database. (Anilowski et al. 2006 also suggest that First Call is more likely to include quantitative forecasts than qualitative ones.) This suggests that our sample is most likely incomplete and most representative when only quantitative forecasts are considered. For these reasons and because many tests require that we restrict attention to point and range forecasts, we will generally focus our discussion on point and range forecasts only.

As just noted, range forecasts are the most common type of guidance in our sample. While it is clear from Figure 1 that non-family firms issue more range forecasts as guidance than family firms, Table 1 indicates that those issued by family firms are significantly narrower, as measured by Forecast Width (p = .000 for both the Wilcoxon and the two-sample t tests). This finding, when considered with the preliminary evidence of greater usage of point forecasts by family firms, suggests that guidance issued by family firms is generally more specific than that issued by non-family firms, consistent with H1.

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