Do Labor Statistics Depend on How and to Whom the Questions Are Asked? Results from a Survey Experiment in Tanzania
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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.
Palabras clave
CASUAL WORKERS, CHANGE, CHILD LABOR, CONSUMPTION EXPENDITURES, DATA COLLECTION, DATA ENTRY, DATA QUALITY, DESCRIPTION, DEVELOPMENT ECONOMICS, DISTRICTS, DWELLING, ECONOMIC DEVELOPMENT, ECONOMICS, EMPLOYEE, EMPLOYMENT, EMPLOYMENT PATTERNS, EMPLOYMENT RATE, EMPLOYMENT STATUS, ENUMERATORS, FAMILY LABOR, FEMALE, FEMALE EMPLOYMENT, FEMALE LABOR, FEMALE LABOR FORCE, FEMALES, FIELD WORK, GENDER, GENDER ISSUES, HOURS OF WORK, HOUSEHOLD CHARACTERISTICS, HOUSEHOLD COMPOSITION, HOUSEHOLD ENTERPRISE, HOUSEHOLD ENTERPRISES, HOUSEHOLD SURVEY, HOUSEHOLD SURVEYS, HOUSEHOLDS, HOUSING, HUMAN RESOURCES, INCOME, INFORMAL SECTOR, INTERVIEWS, LABOR DEMAND, LABOR FORCE, LABOR FORCE PARTICIPATION, LABOR MARKET, LABOR MARKET INDICATORS, LABOR MARKETS, LABOR STATISTICS, LABOR SUPPLY, LABOR SURVEYS, LABORERS, LABOUR, LABOUR FORCE, LABOUR FORCE PARTICIPATION, LABOUR OFFICE, LABOUR STATISTICS, LIVING STANDARDS, LIVING STANDARDS MEASUREMENT, MARKET SURVEYS, OCCUPATION, OCCUPATIONAL CHOICE, PRIVATE SECTOR, PUBLIC OPINION, QUESTIONNAIRE, QUESTIONNAIRE DESIGN, QUESTIONNAIRES, REGULAR JOBS, RESEARCH DESIGN, RESEARCH METHODS, RURAL AREAS, SAMPLE SIZE, SELF EMPLOYED, SURVEY DATA, SURVEY DESIGN, SURVEY IMPLEMENTATION, SURVEY INSTRUMENTS, SURVEY QUESTIONNAIRES, SURVEY QUESTIONS, SURVEY RESEARCH, UNEMPLOYMENT, UNPAID FAMILY WORKERS, URBAN AREAS, VILLAGES, WAGE EMPLOYMENT, WAGES, WOMEN WORKERS, WORK ACTIVITIES, WORK IN PROGRESS, WORK PROJECT, WORKER, WORKERS, WORKING, WORKING HOURS, WORKING WOMEN, YOUNGER WORKERS
