Working from home is here to stay, but how does it affect workplace learning?

Swiss Journal of Economics and Statistics

Table 3 Heterogeneity of working from home’s effect by company size and occupation

Heterogeneity	(1)	(2)	(3)	(4)
	Company size	Company size	Working from home prevalence	Working from home prevalence
Dependent Variable	Practical knowledge	Theoretical knowledge	Practical knowledge	Theoretical knowledge
WFH	− 0.0908**	0.0210	− 0.135***	− 0.0239
	(0.0440)	(0.0391)	(0.0395)	(0.0351)
Medium and Large company # WFH	0.00899	0.00875
	(0.0604)	(0.0570)
WFH Prevalent Occupation			− 0.0837	0.0128
WFH Prevalent Occupation			(0.130)	(0.139)
WFH Prevalent Occupation # WFH			0.0604	0.0614
WFH Prevalent Occupation # WFH			(0.0533)	(0.0481)
Observations	11,450	11,411	11,450	11,411
Within R-squared	0.037	0.034	0.037	0.034
Number of respondents	3,140	3,131	3,140	3,131

WFH signifies “working from home”. The table shows WLS coefficients and robust standard errors clustered at the respondent level in parentheses. *** p < 0.01, ** p < 0.05, * p < 0.1. All columns include month and respondent fixed effects. The dependent variable in columns (1) and (3) is Practical knowledge, in columns (2) and (4) is Theoretical knowledge. Columns (1), (2) include an interaction term between a medium and large company indicator variable and the work from home indicator variable, whilst columns (3), (4) comprise an interaction term between the work from home prevalence in occupation indicator variable, and the work from home indicator variable. Medium and large companies are defined as companies with 50 or more employees, whilst work from home prevalent occupations are IT and administration