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Explaining urban–rural differences in educational achievement in Thailand: Evidence from PISA literacy data

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  • Lounkaew, Kiatanantha

Abstract

Using the Thai PISA 2009 literacy test, this paper offers two contributions to the literature on the achievement gap between students in urban and rural areas. The first contribution relates to the estimation of the student-level education production function at different points along the achievement distributions. With the use of Oaxaca–Blinder decomposition, the second contribution demonstrates how much of the achievement differential between urban–rural students can be explained by unmeasured school characteristics. It has been found that the impact of student, family as well as school characteristics on student achievements vary along the test achievement distributions. Decompositions exercises at the mean find that about 45–48 percent of urban–rural achievement gaps are accounted for by the unmeasured characteristics of schools. The disaggregated decomposition exercise along the achievement percentile shows that these characteristics account for about 12–15 percent low-performing students and increase to about 61–69 percent for high-performing students.

Suggested Citation

  • Lounkaew, Kiatanantha, 2013. "Explaining urban–rural differences in educational achievement in Thailand: Evidence from PISA literacy data," Economics of Education Review, Elsevier, vol. 37(C), pages 213-225.
  • Handle: RePEc:eee:ecoedu:v:37:y:2013:i:c:p:213-225 DOI: 10.1016/j.econedurev.2013.09.003
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    Cited by:

    1. Ignacio García-Pérez, J. & Hidalgo-Hidalgo, Marisa, 2017. "No student left behind? Evidence from the Programme for School Guidance in Spain," Economics of Education Review, Elsevier, pages 97-111.
    2. Ramos, Raul & Duque, Juan Carlos & Nieto, Sandra, 2016. "Decomposing the Rural-Urban Differential in Student Achievement in Colombia using PISA Microdata/Una descomposición del diferencial rural-urbano en los rendimientos educativos en Colombia a partir de ," Estudios de Economía Aplicada, Estudios de Economía Aplicada, pages 379-412.
    3. Wang, Dan & Wang, Jingying & Li, Hui & Li, Ling, 2017. "School context and instructional capacity: A comparative study of professional learning communities in rural and urban schools in China," International Journal of Educational Development, Elsevier, pages 1-9.
    4. Chapman, Bruce & Lounkaew, Kiatanantha, 2013. "Introduction to the special issue on Economic Research for Education Policy," Economics of Education Review, Elsevier, pages 200-203.
    5. Jerrim, John & Lopez-Agudo, Luis Alejandro & Marcenaro-Gutierrez, Oscar D. & Shure, Dominique, 2017. "What Happens When Econometrics and Psychometrics Collide? An Example Using the PISA Data," IZA Discussion Papers 10847, Institute for the Study of Labor (IZA).

    More about this item

    Keywords

    Student achievement; School quality; Education reform; Basic education; Basic education in Thailand; PISA; Student achievement gaps;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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