This paper aims to identify the obstacles to school progression by integrating field surveys conducted in twenty-five Pakistani villages, using economic theory and econometric analysis. The full-information maximum likelihood (FIML) estimation of the sequential schooling decision model reveals important dynamics of the gender difference in educational attainment, intrahousehold resource-allocation patterns, and transitory income and wealth effects. We find a high educational retention rate and observe that school progression rates between male and female students after secondary school are comparable. In particular, we find gender-specific and schooling-stage-specific birth-order effects on education. Our overall findings are consistent with the theoretical implications of optimal schooling behavior under binding credit constraints and the self-selection in education-friendly households. Finally, we find serious supply-side constraints on primary education for females.
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Paper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number
CIRJE-F-484.
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