Male	No College Degree	Below 30 years of age	Above 60 years of age	Bottom two income deciles	Top two income deciles	Born abroad	Firms of less than 250 workers	Part-time
All Countries	− 0.069***	− 0.115***	− 0.038***	0.009***	− 0.116***	0.181***	− 0.067***	− 0.078***	− 0.057***
	(0.001)	(0.001)	(0.001)	(0.002)	(0.001)	(0.001)	(0.002)	(0.001)	(0.001)
Austria	0.022*	0.060***	− 0.009	0.023	− 0.003	0.012	− 0.005	0.032**	0.041***
	(0.011)	(0.011)	(0.013)	(0.042)	(0.014)	(0.013)	(0.016)	(0.014)	(0.014)
Belgium	0.005	0.094***	0.018	0.060	− 0.002	− 0.012	− 0.025	0.031*	0.035**
	(0.014)	(0.013)	(0.018)	(0.043)	(0.017)	(0.016)	(0.027)	(0.016)	(0.016)
Canada	− 0.018***	0.006	− 0.043***	− 0.004	− 0.026***	− 0.002	0.066***	− 0.010
	(0.005)	(0.005)	(0.006)	(0.012)	(0.007)	(0.006)	(0.007)	(0.007)
Chile	− 0.011	0.050***	0.033***	− 0.043**	0.020*	− 0.010	0.017	− 0.014	0.032**
	(0.009)	(0.008)	(0.009)	(0.019)	(0.011)	(0.010)	(0.021)	(0.012)	(0.013)
Cyprus	− 0.043	0.035	0.043	− 0.068	0.038	− 0.049	0.055	0.047	0.019
	(0.042)	(0.046)	(0.049)	(0.118)	(0.051)	(0.048)	(0.060)	(0.072)	(0.079)
Czechia	− 0.002	0.026*	0.034**	− 0.029	0.021	− 0.012	0.017	0.054***	0.030
	(0.011)	(0.016)	(0.014)	(0.031)	(0.013)	(0.013)	(0.027)	(0.015)	(0.033)
Germany	0.025***	0.063***	− 0.017***	− 0.010	0.002	0.036***	− 0.049***	− 0.015***	0.024***
	(0.004)	(0.004)	(0.004)	(0.008)	(0.005)	(0.004)	(0.006)	(0.004)	(0.004)
Denmark	0.003	0.035**	− 0.065***	0.040	− 0.028*	0.012	0.013	− 0.029*	0.009
	(0.013)	(0.013)	(0.016)	(0.028)	(0.016)	(0.015)	(0.023)	(0.018)	(0.019)
Ecuador	− 0.054***	− 0.070***	0.024***	− 0.049	0.025*	− 0.038***		− 0.010	− 0.022
	(0.011)	(0.011)	(0.012)	(0.034)	(0.014)	(0.012)		(0.017)	(0.014)
Spain	0.000	− 0.092***	0.011	0.008	0.006	0.022***	− 0.036***	0.015*	0.005
	(0.006)	(0.005)	(0.008)	(0.017)	(0.007)	(0.007)	(0.008)	(0.008)	(0.008)
Estonia	− 0.036	0.024	0.026	− 0.008	0.006	− 0.057*	− 0.002	0.031	0.048
	(0.029)	(0.030)	(0.035)	(0.059)	(0.036)	(0.034)	(0.046)	(0.046)	(0.058)
Finland	− 0.005	0.058***	− 0.045***	0.018	− 0.010	− 0.012	− 0.008	0.001	0.003
	(0.014)	(0.015)	(0.018)	(0.028)	(0.017)	(0.016)	(0.034)	(0.020)	(0.025)
France	− 0.017***	0.027***	0.029***	0.010	0.018***	0.021***	− 0.019***	0.021***	0.022***
	(0.005)	(0.005)	(0.006)	(0.013)	(0.006)	(0.005)	(0.007)	(0.006)	(0.006)
United Kingdom	0.001	− 0.001	− 0.006	− 0.008	− 0.038***	0.045***	0.046***	− 0.004	− 0.003
	(0.005)	(0.005)	(0.005)	(0.011)	(0.006)	(0.005)	(0.007)	(0.005)	(0.006)
Greece	− 0.008	0.013	0.013	0.026	0.050***	− 0.027	− 0.018	0.010	− 0.010
	(0.015)	(0.015)	(0.019)	(0.052)	(0.018)	(0.017)	(0.023)	(0.026)	(0.021)
Hungary	− 0.038***	− 0.023**	0.034**	− 0.035*	− 0.013	0.046***	0.080**	0.001	− 0.002
	(0.010)	(0.011)	(0.013)	(0.021)	(0.015)	(0.011)	(0.033)	(0.013)	(0.019)
Ireland	− 0.006	− 0.010	− 0.010	− 0.053	− 0.011	0.000	0.025	− 0.027	− 0.035*
	(0.017)	(0.017)	(0.020)	(0.046)	(0.021)	(0.020)	(0.021)	(0.022)	(0.020)
Israel	− 0.028**	− 0.011	− 0.049***	0.012	− 0.024	0.009	0.023	− 0.030*	− 0.013
	(0.013)	(0.015)	(0.014)	(0.026)	(0.016)	(0.015)	(0.015)	(0.016)	(0.016)
Italy	− 0.028***	− 0.089***	0.015**	0.015	0.016**	− 0.014**	− 0.058***	0.011	0.037***
	(0.005)	(0.005)	(0.007)	(0.016)	(0.007)	(0.006)	(0.009)	(0.007)	(0.007)
Japan	0.084***	0.038***	− 0.004	− 0.059***	0.037***	− 0.036***	0.088***	− 0.028***	− 0.032***
	(0.003)	(0.003)	(0.004)	(0.006)	(0.004)	(0.004)	(0.029)	(0.004)	(0.004)
Kazakhstan	− 0.057***	0.023**	0.079***	− 0.059**	0.053***	− 0.071***	− 0.003	0.049***	0.024
	(0.009)	(0.010)	(0.010)	(0.029)	(0.011)	(0.011)	(0.020)	(0.016)	(0.017)
Korea	0.050***	0.030***	0.088***	− 0.118***	− 0.004	− 0.061***	− 0.078***	− 0.011	− 0.050***
	(0.005)	(0.005)	(0.006)	(0.013)	(0.006)	(0.006)	(0.019)	(0.007)	(0.007)
Lithuania	− 0.051**	0.024	0.048**	− 0.010	0.024	0.007	0.015	0.038	0.050
	(0.020)	(0.020)	(0.024)	(0.043)	(0.024)	(0.023)	(0.052)	(0.027)	(0.036)
Mexico	− 0.027***	− 0.079***	0.033***	− 0.049***	0.060***	− 0.031***	0.203***	0.043***	0.033***
	(0.004)	(0.004)	(0.004)	(0.011)	(0.005)	(0.004)	(0.048)	(0.005)	(0.005)
Netherlands	0.022***	− 0.057***	− 0.045***	0.000	− 0.058***	0.003	0.012	− 0.003	0.049***
	(0.008)	(0.008)	(0.009)	(0.019)	(0.010)	(0.009)	(0.013)	(0.010)	(0.009)
Norway	0.024*	− 0.016	− 0.071***	0.024	− 0.032*	− 0.012	0.008	− 0.006	− 0.023
	(0.013)	(0.014)	(0.016)	(0.026)	(0.017)	(0.016)	(0.020)	(0.017)	(0.019)
New Zealand	− 0.016	− 0.023	− 0.037**	0.012	− 0.031	0.028	0.083***	− 0.041*	0.006
	(0.016)	(0.016)	(0.018)	(0.031)	(0.020)	(0.018)	(0.018)	(0.022)	(0.020)
Peru	0.007	0.040***	0.057***	0.001			0.160***	− 0.002	0.033***
	(0.005)	(0.005)	(0.006)	(0.011)			(0.040)	(0.013)	(0.006)
Poland	− 0.053***	0.011	0.038***	− 0.017	0.003	0.004	0.145**	0.062***	0.043***
	(0.006)	(0.009)	(0.007)	(0.016)	(0.007)	(0.007)	(0.069)	(0.008)	(0.012)
Singapore	0.004	− 0.033**	0.049***	− 0.084***	− 0.065***	− 0.011	0.096***	0.003	− 0.074***
	(0.016)	(0.015)	(0.019)	(0.031)	(0.019)	(0.018)	(0.018)	(0.017)	(0.028)
Slovak Republic	− 0.027*	− 0.065***	0.052***	− 0.003	− 0.004	− 0.018	0.065	0.070***	0.011
	(0.015)	(0.025)	(0.019)	(0.046)	(0.019)	(0.018)	(0.055)	(0.019)	(0.034)
Slovenia	− 0.030	0.074***	0.007	0.060	− 0.034	0.037	− 0.071*	0.102***	0.032
	(0.026)	(0.029)	(0.039)	(0.116)	(0.032)	(0.031)	(0.040)	(0.031)	(0.063)
Sweden	0.001	0.044***	− 0.045***	0.017	0.003	− 0.015	0.010	0.005	− 0.008
	(0.010)	(0.011)	(0.013)	(0.019)	(0.013)	(0.012)	(0.015)	(0.013)	(0.013)
Turkey	− 0.017***	− 0.035***	0.038***	− 0.001	0.055***	− 0.046***	0.000	0.051***	0.016
	(0.006)	(0.005)	(0.006)	(0.032)	(0.007)	(0.006)	(0.034)	(0.008)	(0.014)
United States	− 0.025***	0.002	− 0.048***	0.071***	− 0.044***	0.025***	− 0.004	− 0.014***	− 0.029***
	(0.002)	(0.002)	(0.003)	(0.005)	(0.003)	(0.003)	(0.004)	(0.003)	(0.003)

Note: Table contains estimates of country differences from regressions where tele-workability index is regressed on one of the worker characteristics, with an interaction term for the country capturing country differences from the full sample mean. Each worker characteristic variable takes on a value of 1, indicating whether an individual belongs to a given group, or 0. Blank cells are not estimated for a given country due to lack of variable availability in the data. Full sample of 35 countries contains 151,177 observations. Standard errors are in parentheses. *** denotes significance at the 99% level, ** at the 95% level, and * at the 90% level