Working the Night Shift: The Impact of Compensating Wages and Local Economic Conditions on Shift Choice

Table 4

Interaction effects using the coincident index.

Index	Cell	Log wage differential
		−0.56070		−0.32671		−0.13668		0.07415		0.20970
		Lower	Upper	Lower	Upper	Lower	Upper	Lower	Upper	Lower	Upper
		1		2		3		4		5
−1.73	A	0.001075	0.014638	0.002019	0.020283	0.003144	0.026160	0.004894	0.034315	0.006394	0.040611
Average*		0.007856		0.011151		0.014652		0.019605		0.023503
−0.31	B	0.001115	0.014902	0.002082	0.020634	0.003232	0.026595	0.005019	0.034863	0.006552	0.041241
Average		0.008009		0.011358		0.014914		0.019941		0.023897
0.64	C	0.001143	0.015082	0.002126	0.020871	0.003292	0.026890	0.005105	0.035234	0.006660	0.041667
Average		0.008112		0.011498		0.015091		0.020169		0.024163
1.34	D	0.001163	0.015215	0.002158	0.021048	0.003337	0.027109	0.005168	0.035509	0.006740	0.041983
Average		0.008189		0.011603		0.015223		0.020338		0.024362
2.02	E	0.001184	0.015345	0.002190	0.021220	0.003381	0.027324	0.005231	0.035778	0.006819	0.042292
Average		0.008264		0.011705		0.015352		0.020504		0.024556

This table presents lower and upper bounds on the probability of working the night shift. The bounds on the probability are computed for each combination of the log wage differential and the one month percentage change in the leading index. For example, the lower bound for the log wage differential and leading index combination A1 is 0.001075 while the upper bound is 0.014638. *The average of the lower and upper bounds is reported below each combination. For example, the average probability for combination A1 is 0.007856. From left to right, the values of the log wage differential indicate the 10th percentile, 25th percentile, mean, 75th percentile, and 90th percentile of the predicted log wage differential. From top to bottom, the values of the percentage change in the leading index indicate the 10th percentile, 25th percentile, mean, 75th percentile, and 90th percentile.