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Sticky assessments – the impact of teachers’ grading standard on pupils’ school performance

Author

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  • Tamas Keller

    (TARKI Social Research Institute and Research Centre for Educational and Network Studies, Hungarian Academy of Sciences)

Abstract

This paper argues that school grades cannot be interpreted solely as a reward for a given school performance, since they also reflect teachers’ ratings of pupils. Grades therefore contain valuable information about pupils’ own – usually unknown – ability. The incorporated assessment in grade might be translated into self-assessment, which could influence the effort that pupils invest in education. Getting discounted grades in year 6 for a given level of math performance assessed using a PISA-like test has a positive effect on math test scores in year 8 of elementary education and also influences later outcomes in secondary education. The empirical analysis tries to minimize the possible bias caused by the measurement error in year 6 test scores (unmeasured ability) and employs classroom fixed-effect instrumental variable (IV) regression and difference-in-difference models. The main analysis is based on a unique Hungarian individual-level panel dataset with two observations about the same individual – one in year 6 (12/13 years old) and again two years later, in year 8 (14/15 years old) of elementary education. The data for three entire school cohorts is analyzed – approximately 140,000 individuals. Highlights • Examines the impact of teachers’ grading standards on pupils’ school performance • Takes advantage of having two different measures of pupils’ math knowledge: teacher-given grades and centralized test scores • Assumes that grades are more than test scores, since they incorporate teachers’ ratings • Tries to estimate teachers’ grading standards and minimizes unmeasured ability bias by employing IV regression and diff-in-diff approaches • Finds that year 6 grades positively influence year 8 test scores and year 10 outcomes • Argues that teachers’ assessments translate to self-assessment, which influences pupils’ effort • Concludes that grading standards in elementary school accompany pupils to secondary school

Suggested Citation

  • Tamas Keller, 2015. "Sticky assessments – the impact of teachers’ grading standard on pupils’ school performance," Budapest Working Papers on the Labour Market 1505, Institute of Economics, Centre for Economic and Regional Studies.
  • Handle: RePEc:has:bworkp:1505
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    References listed on IDEAS

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    1. Azmat, Ghazala & Iriberri, Nagore, 2010. "The importance of relative performance feedback information: Evidence from a natural experiment using high school students," Journal of Public Economics, Elsevier, vol. 94(7-8), pages 435-452, August.
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    3. Camille Terrier, 2014. "Giving a Little Help to Girls? Evidence on Grade Discrimination and its Effect on Students Achievement," Working Papers hal-01080834, HAL.
    4. Zoltan Hermann, 2013. "Are you on the right track? The effect of educational tracks on student achievement in upper-secondary education in Hungary," Budapest Working Papers on the Labour Market 1316, Institute of Economics, Centre for Economic and Regional Studies.
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    7. Betts, Julian R. & Grogger, Jeff, 2003. "The impact of grading standards on student achievement, educational attainment, and entry-level earnings," Economics of Education Review, Elsevier, vol. 22(4), pages 343-352, August.
    8. Edward C. Norton & Hua Wang & Chunrong Ai, 2004. "Computing interaction effects and standard errors in logit and probit models," Stata Journal, StataCorp LP, vol. 4(2), pages 154-167, June.
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    Cited by:

    1. Keller, Tamás, 2016. "Ha a jegyek nem elég jók... Az önértékelés szerepe a felsőoktatásba való jelentkezésben [Self-assessment and its effects on applications for tertiary education]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 62-78.

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    More about this item

    Keywords

    School performance; Inflated school grades; Feedback; Good teacher; Educational panel data; Hungarian National Assessment of Basic Competencies;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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