The impact of financial participation on workers' compensation

Journal for Labour Market Research

Table 7 Profit-sharing and total compensation: variation across worker type

	\( {\beta}_D \)	\( {\beta}_TD \)	\( {\beta}_{TD} \)	Sample size
(1)  Base model	0.052	0.014	0.041	3,180
	(0.009)	(0.019)	(0.015)
(2)  Gender
Male	0.033	0.013	0.050	2,741
	(0.009)	(0.020)	(0.015)
Female	0.047	0.033	0.032	2,394
	(0.012)	(0.026)	(0.025)
(3)  Age
≤ 40  years	0.030	0.020	0.024	2,596
	(0.008)	(0.020)	(0.017)
> 40  years	0.047	0.025	0.040	2,716
	(0.011)	(0.021)	(0.015)
(4)  Tenure
≤ 10  years	0.034	0.013	0.034	2,826
	(0.007)	(0.018)	(0.020)
> 10  years	0.052	0.011	0.054	949
	(0.013)	(0.028)	(0.022)
(5)  Occupation
Low-skilled blue-collar	0.057	0.023	0.027	1,251
	(0.012)	(0.026)	(0.022)
Medium-skilled blue-collar	0.039	−0.026	0.030	1,753
	(0.010)	(0.024)	(0.016)
High-skilled blue collar	0.051	0.010	0.055	1,054
	(0.014)	(0.025)	(0.020)
Low-skilled white-collar^a	0.024	0.018	0.052	1,471
	0.012	0.029	0.028
Medium-skilled white-collar^b	0.063	0.001	0.032	1,943
	(0.012)	(0.023)	(0.018)
Managers^c	0.098	0.001	0.025	864
	(0.017)	(0.023)	(0.029)

Note: Standard errors in parentheses are all robust to clustering at the plant level.
^a “Basic service occupations” and “Basic business occupations” grouped together (see Table  9 in the Appendix).
^b “Qualified service occupations”, “Semi-professional” and iQualified business occupationsj grouped together.
^c “Professional” and “Manager” grouped together.