Absenteeism, unemployment and employment protection legislation: evidence from Italy

Table 2 Abseenteism and unemployment: OLS and FE estimation results

	OLS			FE
	(1)	(2)	(3)	(4)	(5)
Unemployment rate	-0.034***	-0.030***	-0.031***	-0.011*	-0.016**
	(0.006)	(0.006)	(0.006)	(0.006)	(0.007)
Small firm (≤15)	-0.618***	-0.507***	-0.556***	-0.076	-0.042
	(0.030)	(0.048)	(0.054)	(0.070)	(0.076)
Small firm* Unemployment rate		-0.012***	-0.015***	-0.012	-0.013*
		(0.004)	(0.004)	(0.007)	(0.007)
Lag ln(Wage)			-0.921***		0.096
			(0.088)		(0.079)
Female	0.244***	0.244***	0.093*
	(0.048)	(0.048)	(0.052)
Age	-0.100***	-0.099***	-0.094***	-0.207***	-0.243***
	(0.014)	(0.014)	(0.013)	(0.026)	(0.032)
Age squared	0.002***	0.002***	0.002***	0.005***	0.005***
	(0.000)	(0.000)	(0.000)	(0.000)	(0.000)
Blue-Collar	0.692***	0.693***	0.515***	0.244**	0.254**
	(0.076)	(0.076)	(0.057)	(0.094)	(0.121)
Tenure	0.149***	0.149***	0.124***	0.288***	0.283***
	(0.010)	(0.010)	(0.011)	(0.016)	(0.016)
Tenure squared	-0.010***	-0.010***	-0.008***	-0.015***	-0.014***
	(0.001)	(0.001)	(0.001)	(0.001)	(0.001)
Actual experience	-0.013**	-0.013**	-0.015**	-0.030	-0.021
	(0.006)	(0.006)	(0.006)	(0.021)	(0.029)
Constant	2.909***	2.863***	6.351***	2.609***	2.572***
	(0.309)	(0.308)	(0.533)	(0.603)	(0.779)
Observations	574,074	574,074	483,531	574,074	483,531

Notes: WHIP dataset. OLS (columns 1 to 3) and FE (columns 4 to 5) estimates. Unemployment at provincial level. Further controls: Dummies for regions of birth (21), sectors of work (9), years (10). Standard errors are allowed for within provincial correlation. The symbols ***, **, * indicate that coefficients are statistically significant, respectively, at the 1, 5, and 10 percent level.