References for How manipulating test scores affects school accountability and student achievement

Author:Erich Battistin

Further reading
- Neal, D.The Consequences of Using One Assessment System to Pursue Two ObjectivesNBER Working Paper No.19214, 2013.
- Zitzewitz, E. "Forensic economics"Journal of Economic Literature50:3 (2012): 731–769.
Key references
- Angrist, J. D., Battistin, E., Vuri, D.In a Small Moment: Class Size and Moral Hazard in the MezzogiornoIZA Discussion Paper No.8959, 2015.
  Key reference:[1]
- Battistin, E., De Nadai, M., Vuri, D.Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary SchoolsIZA Discussion Paper No.8405, 2015.
  Key reference:[2]
- Battistin, E., Neri, L.Wrong Answer but You Passed. Manipulation of Student Assessments in the UK. London: Queen Mary University of London, 2016.
  Key reference:[3]
- Jacob, B., Levitt, S. "Rotten apples: An investigation of the prevalence and predictors of teacher cheating"Quarterly Journal of Economics118:3 (2003): 843–877.
  Key reference:[4]
- Dee, T. S., Jacob, B. A., McCrary, J., Rockoff, J.Rules and Discretion in the Evaluation of Students and Schools: The Case of the New York Regents ExaminationsColumbia Business School Research Paper, 2011.
  Key reference:[5]
- McCabe, L. D. "Cheating among college and university students: A North American perspective"International Journal of Educational Integrity1:1 (2005).
  Key reference:[6]
- Lucifora, C., Tonello, L. "Cheating and social interactions. Evidence from a randomized experiment in a national evaluation program"Journal of Economic Behavior & Organization115 (2015): 45–66.
  Key reference:[7]
- Carrell, E. S., Malmstrom, F. V., West, J. E. "Peer effects in academic cheating"Journal of Human Resources43:1 (2008): 173–207.
  Key reference:[8]
- Horowitz, J. L., Manski, C. F. "Identification and robustness with contaminated and corrupted data"Econometrica63:2 (1995): 281–302.
  Key reference:[9]
- Levitt, S. D., Lin, M. J.Catching Cheating StudentsNBER Working Paper No.21628, 2015.
  Key reference:[10]
- Kingston, N. M., Clark, A. K.Test Fraud: Statistical Detection and Methodology. New York: Routledge, 2014.
  Key reference:[11]
- Castellano, R., Longobardi, S., Quintano, C. "A fuzzy clustering approach to improve the accuracy of Italian student data"Statistica e Applicazioni7:2 (2009): 149–171.
  Key reference:[12]
- Bertoni, M., Brunello, G., Rocco, L. "When the cat is near, the mice won’t play: The effect of external examiners in Italian schools"Journal of Public Economics104 (2013): 65–77.
  Key reference:[13]
Additional References