Chinese travel agency. Mas and Pallais (2020) offer a detailed and helpful overview of the
prevalence, features, and demand for alternative working arrangements, including the ability
to work from home. Citing the Quality of Worklife Survey and the Understanding Ameri-
can Study, they report that less than 13 percent of full- and part-time jobs have a formal
“work-from-home” arrangement, even though twice that amount work often from home.
5
According to Mas and Pallais, the “median worker reports that only 6 percent of their job
could be feasibly done from home,” but plenty of jobs, including those in “computer and
mathematical” and “business and financial operations” can do a majority of their work from
home. We note that, in the context of the response to COVID-19, there is an important
distinction between being able to do most and all of one’s work at home.
Saltiel (2020) estimates the share of jobs that can be done from home in ten developing
economies using surveys of occupations in those ten lower-income contexts. Following our
approach, he uses information on workers’ tasks in the Skills Toward Employability and
Productivity (STEP) survey to define the feasibility of working from home. The advantage
of using these data is that it addresses the concerns raised by defining the feasibility of
performing a job at home based on the US economic context.
6
Saltiel (2020) finds that few
jobs can be done at home, ranging from 5 to 23 percent across the ten economies, and reports
a positive correlation between this share and GDP per capita. Five of the economies covered
by Saltiel (2020) also appear in our Section 4 results. Our results for Bolivia, Georgia, and
Macedonia are within a few percentage points of the numbers Saltiel reports. Our results
for Ghana and Laos are notably higher, 14 and 21 percent versus roughly 5 and 9 percent,
respectively. In addition to differences in the O*NET and STEP survey questions, these
differences may be attributable to the ILO data and STEP survey differing in temporal
(2017 vs 2012–2013) and geographic (national vs urban) coverage.
In addition to characterizing who works in the jobs that can be done at home, Mongey,
Pilossoph and Weinberg (2020) use O*NET data to produce job-level measures of physical
proximity in the workplace. Baker (2020) and Koren and Pet˝o (2020) also use O*NET survey
data to construct measures of which occupations cannot be done at home or will be affected
by social distancing.
Recent research uses surveys to produce real-time measures of working from home. For
the United States, Brynjolfsson et al. (2020) report that nearly half of the individuals they
surveyed said they were working from home during the first week of April 2020, while Bick,
5
United Kingdom Office for National Statistics (2020) surveys conducted in 2019 found that while 27
percent of the U.K. workforce said they’ve previously worked from home, only about 5 percent said they
mainly work from home. Whether people have actually worked from home differs conceptually from the
focal question of this paper, which is whether these people could feasibly work from home.
6
Gottlieb, Grobovsek and Poschke (2020) apply our classification of occupations to labor force and house-
hold surveys in 57 countries. In line with our findings, they report that smaller shares of jobs can be done
at home in poorer economies. They note, however, that small family farms in principle could operate while
limiting social interactions and obeying stay-at-home orders. Classifying all farming jobs as such substan-
tially increases the estimated share of jobs that can be done at home in some poor economies with large
agricultural employment shares. Stratton (2020) applies our classification to data for Australia. Barbieri,
Basso and Scicchitano (2020) use the Italian equivalent of the O*NET surveys and a similar set of questions
to produce a work-from-home measure for Italy. Boeri, Caiumi and Paccagnella (2020) combine O*NET
information, a survey of the Italian Statistical Office and INAP, and their own assessment to estimate how
many jobs can potentially be carried out remotely for six European economies.
11