Investing in formal on-the-job training: are SMEs lagging much behind?

IZA Journal of Labor & Development

Table 4 The size-job training differential: Heterogenity within countries

Sample	Firms outside capital City	Firms manufacturig	Firms low tech manufacturing	Firms high tech manufacturing
	(1)	(2)	(3)	(4)
Small Firms	0.138	0.131	0.13	0.124
	[0.0144]***	[0.0188]***	[0.0199]***	[0.0379]***
Medium Firms	0.344	0.326	0.335	0.301
	[0.0185]***	[0.0229]***	[0.0270]***	[0.0389]***
Large Firms	0.462	0.417	0.438	0.372
	[0.0174]***	[0.0222]***	[0.0257]***	[0.0366]***
Baseline Specification?	Yes	Yes	Yes	Yes
Country Fixed Effects?	Yes	Yes	Yes	Yes
Sector Fixed Effects?	Yes	Yes	Yes	Yes
Observations	16,774	17,772	11,665	6,045

Source: Author’s calculations are based on the Enterprise Suveys (World Bank).
Note: *significantat 10%; **significantat 5%; ***significantat 1%. Dependent variable is a dummy variable that equals 1 when the firm reports providing on-the-job training. Standard errors are clustered at the country and sector level. Columns (1) through (4) report the results of estimating the baseline specification-reported in column (3) of table 3-for different samples. Column (1) considers only firms located outside the capital city, column (2) considers only manufacturing firms, column (3) considers only low-tech firms and column (4) considers only high-tech firms. All the variables are defined in Additional file 3.