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Do returns to education depend on how and whom you ask?
Institution:1. University of East Anglia, United Kingdom;2. The World Bank, United States;3. Michigan State University, United States;1. University of Konstanz, Department History and Sociology, Working Group Microsociology, 78457 Konstanz, Germany;2. University of Aalborg, Department of Political Science, Centre for Comparative Welfare Studies, 9220 Aalborg, Denmark;1. Department of Urban Planning and Management, School of Public Administration and Public Policy, Renmin University of China, China;2. China Center for Human Capital and Labor Market Research, Central University of Finance and Economics, Beijing, China;1. Division of Social Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;2. Institute for Economic and Social Research, Jinan University, Guangzhou, China
Abstract:Returns to education remain an important parameter of interest in economic analysis. A large literature estimates these returns, often carefully addressing issues such as selection into wage employment and endogeneity in terms of completed schooling. There has been much less exploration of whether the estimates of Mincerian returns depend on how information about wage work is collected. Relying on a survey experiment in Tanzania, this paper finds that estimates of the returns to education vary by questionnaire design, but not by whether the information on employment and wages is self-reported or collected by a proxy respondent. The differences derived from questionnaire type are substantial, varying from higher returns of 5 percentage points among the most well educated men to 16 percentage points among the least well educated women. These differences are at magnitudes similar to the bias in ordinary least squares estimation, which receives considerable attention in the literature. The findings demonstrate that survey design matters in the estimation of returns to schooling and that care is needed in comparing across contexts and over time, particularly if the data are generated through different surveys.
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