Measuring Discrimination in Education
Abstract
In this paper, a methodology to measure discrimination in educational contexts is illustrated. In India, exam competition is run through which children compete for a large financial prize and teachers have been recruited to grade the exams.Then there is a random assignment of child “characteristics†(age, gender, and caste) to the cover sheets of the exams to ensure that there is no systematic relationship between the characteristics observed by the teachers and the quality of the exams. It has been found out that teachers give exams that are assigned to be lower caste scores that are about 0.03 to 0.09 standard deviations lower than exams that are assigned to be high caste. The effect is small relative to the real differences in scores between the high and lower caste children. Low-performing, low caste children and top-performing females tend to lose out the most due to discrimination. Interestingly, findings also suggest that the discrimination against low caste students is driven by low caste teachers, while teachers who belong to higher caste groups do not appear to discriminate at all. This result runs counter to the previous literature, which tends to find that individuals discriminate in favor of members of their own groups.[Working Paper no. 230]Download Info
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.Bibliographic Info
Paper provided by eSocialSciences in its series Working Papers with number id:2541.Length:
Date of creation: Jun 2010
Date of revision:
Handle: RePEc:ess:wpaper:id:2541
Note: Institutional Papers
Contact details of provider:
Web page: http://www.esocialsciences.org
Related research
Keywords: methodology; discrimination; educational contexts; large financial prize; teachers; characteristicsage; gender; and caste; cover sheets; exams; favor;Other versions of this item:
- Rema Hanna & Leigh Linden, 2009. "Measuring Discrimination in Education," NBER Working Papers 15057, National Bureau of Economic Research, Inc.
- I2 - Health, Education, and Welfare - - Education
- J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-06-18 (All new papers)
- NEP-CWA-2010-06-18 (Central & Western Asia)
- NEP-EDU-2010-06-18 (Education)
- NEP-LAB-2010-06-18 (Labour Economics)
- NEP-URE-2010-06-18 (Urban & Real Estate Economics)
References
No references listed on IDEASYou can help add them by filling out this form.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Amine Ouazad & Lionel Page, 2012. "Students’ Perceptions of Teacher Biases: Experimental Economics in Schools," CEE Discussion Papers 0133, Centre for the Economics of Education, LSE.
- Hinnerich, Björn Tyrefors & Höglin, Erik & Johannesson, Magnus, 2011. "Ethnic Discrimination in High School Grading: Evidence from a Field Experiment," Working Paper Series in Economics and Finance 733, Stockholm School of Economics, revised 19 Jan 2011.
- van Ewijk, Reyn, 2011.
"Same work, lower grade? Student ethnicity and teachers' subjective assessments,"
Economics of Education Review,
Elsevier, vol. 30(5), pages 1045-1058, October.
- Ewijk, R. van, . "Same work, lower grade? Student ethnicity and teachers' subjective assessments," Working Papers 21, Top Institute for Evidence Based Education Research.
- Jain, Tarun & Narayan, Tulika, 2009. "Incentive to discriminate? An experimental investigation of teacher incentives in India," MPRA Paper 18672, University Library of Munich, Germany.
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:ess:wpaper:id:2541For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Padma Prakash).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.

