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Decomposing the Rural-Urban Differential in Student Achievement in Colombia Using PISA Microdata

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Listed:
  • Ramos, Raul

    () (University of Barcelona)

  • Duque, Juan Carlos

    () (Universidad EAFIT)

  • Nieto, Sandra

    () (University of Barcelona)

Abstract

Despite the large number of studies that draw on Programme for International Student Assessment (PISA) microdata in their analyses of the determinants of educational outcomes, no more than a few consider the relevance of geographical location. In going some way to rectify this, our paper examines the differences in educational outcomes between students attending schools in rural areas and those enrolled in urban schools. We use microdata from the 2006 and 2009 PISA survey waves for Colombia. The Colombian case is particularly interesting in this regard due to the structural changes suffered by the country in recent years, both in terms of its political stability and of the educational reform measures introduced. Our descriptive analysis of the data shows that the educational outcomes of rural students are worse than those of urban students. In order to identify the factors underpinning this differential, we use the Oaxaca-Blinder decomposition and then exploit the time variation in the data using the methodology proposed by Juhn-Murphy-Pierce. Our results show that most of the differential is attributable to family characteristics as opposed to those of the school. From a policy perspective, our evidence supports actions addressed at improving conditions in the family rather than measures of positive discrimination of rural schools.

Suggested Citation

  • Ramos, Raul & Duque, Juan Carlos & Nieto, Sandra, 2012. "Decomposing the Rural-Urban Differential in Student Achievement in Colombia Using PISA Microdata," IZA Discussion Papers 6515, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp6515
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    References listed on IDEAS

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    1. Decomposing the Rural-Urban Differential in Student Achievement in Colombia Using PISA Microdata
      by Maximo Rossi in Wikiprogress América Latina on 2012-05-11 21:38:00

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    Cited by:

    1. Calzada, Joan & Martínez-Santos, Fernando, 2014. "Broadband prices in the European Union: Competition and commercial strategies," Information Economics and Policy, Elsevier, vol. 27(C), pages 24-38.
    2. Manuela Alcañiz & Montserrat Guillén & Daniel Sánchez-Moscona & Miguel Santolino & Oscar Llatje & Lluís Ramon, 2013. "“Prevalence of alcohol-impaired drivers based on random breath tests in a roadside survey”," IREA Working Papers 201313, University of Barcelona, Research Institute of Applied Economics, revised Jul 2013.
    3. Jaume Belles-Sampera & Montserrat Guillén & José M. Merigó & Miguel Santolino, 2013. "“Indicators for the characterization of discrete Choquet integrals”," IREA Working Papers 201311, University of Barcelona, Research Institute of Applied Economics, revised May 2013.
    4. Joan Calzada & Anton Costas, 2013. "“La liberalización de las telecomunicaciones en España: control de la inflación y universalización del servicio”," IREA Working Papers 201310, University of Barcelona, Research Institute of Applied Economics, revised May 2013.
    5. María Lorena Marí del Cristo & Marta Gómez-Puig, 2013. "“Fiscal sustainability and fiscal shocks in a dollarized and oil-exporting country: Ecuador”," IREA Working Papers 201306, University of Barcelona, Research Institute of Applied Economics, revised Apr 2013.
    6. Juan F. Castro, 2015. "Linear decompositions of cognitive achievement gaps a cautionary note and an illustration using peruvian data," Working Papers 15-08, Centro de Investigación, Universidad del Pacífico.
    7. Fageda, Xavier & Rubio-Campillo, Rafael & Termes-Rifé, Montserrat, 2014. "Determinants of broadband access: Is platform competition always the key variable to success?," Information Economics and Policy, Elsevier, vol. 26(C), pages 58-67.
    8. repec:eee:ecoedu:v:64:y:2018:i:c:p:144-164 is not listed on IDEAS
    9. Sandra Nieto & Raul Ramos, 2014. "“Decomposition of Differences in PISA Results in Middle Income Countries”," AQR Working Papers 201404, University of Barcelona, Regional Quantitative Analysis Group, revised Mar 2014.
    10. repec:aec:ebooks:12 is not listed on IDEAS

    More about this item

    Keywords

    educational outcomes; rural-urban differences; decomposition methods;

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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