Do Labor Statistics Depend on How and to Whom the Questions Are Asked? Results from a Survey Experiment in Tanzania
Labor market statistics are critical for assessing and understanding economic development. In practice, widespread variation exists in how labor statistics are measured in household surveys in low-income countries. Little is known whether these dif...
Main Authors: | , , , |
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Format: | Policy Research Working Paper |
Language: | English |
Published: |
2012
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Subjects: | |
Online Access: | http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20100127140449 http://hdl.handle.net/10986/3700 |
Summary: | Labor market statistics are critical for
assessing and understanding economic development. In
practice, widespread variation exists in how labor
statistics are measured in household surveys in low-income
countries. Little is known whether these differences have an
effect on the labor statistics they produce. This paper
analyzes these effects by implementing a survey experiment
in Tanzania that varied two key dimensions: the level of
detail of the questions and the type of respondent.
Significant differences are observed across survey designs
with respect to different labor statistics. Labor force
participation rates, for example, vary by as much as 10
percentage points across the four survey assignments. Using
a short labor module without screening questions on
employment generates lower female labor force participation
and lower rates of wage employment for both men and women.
Response by proxy rather than self-report yields lower male
labor force participation, lower female working hours, and
lower employment in agriculture for men. The differences
between proxy and self reporting seem to come from
information imperfections within the household, especially
with the distance in age between respondent and subject
playing an important role, while gender and educational
differences seem less important. |
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