Sentence examples for quarter interactions from inspiring English sources

What is different when the division × quarter interactions are added is that the estimates become much less precise.

Figure 4 Leads ("pre-trends") and lags, and 90% confidence intervals, for standard panel data model and model with division × quarter interactions added, CPS data, 1990-2010.

First, given that our earlier paper raised sufficient doubts about the inclusion of linear state trends, we believe the key question is whether the addition of the division × quarter interactions are needed.

A second feature of Panel A of Figure 3 that is quite striking is that the estimates of the actual effects of minimum wages on teen employment are very similar whether or not the division × quarter interactions are included.

The second point that emerges from this figure is that the model with the division × quarter interactions (the dashed line) actually looks worse, as it is persistently negative for most of the leads.

Moreover, our reading of the estimates in Panel A, using either the standard panel data model or adding the division × quarter interactions, is that there is a negative downward shift in teen employment that is most apparent about four to eight quarters after the minimum wage increase – consistent with a lagged effect discussed in much of the literature.

Note, however, that ADRZ also include the Census division-quarter interactions in these specifications.

As can be seen by comparing Panels A and B of Figure 4, the confidence intervals for the model with quarter × division interactions added become much larger – sometimes as much as three times as large.

But in real life, only about a quarter of your interactions are flirtatious.

Models included effects for ED visits (pediatric vs. adult), categorical year, categorical quarter, and the interactions between ED and year, and ED and quarter.

Models included effects for hospital admission of three or more days (pediatric vs. adult), categorical year, categorical quarter, and the interactions between hospital admission and year, and hospital admission and quarter.