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Un modelo econométrico del fraude académico en una universidad española

  • Enrique García Pérez

    (Dpto. de Estadística e Investigación Operativa II (Métodos de Decisión). Universidad Complutense de Madrid)

  • Benjamín Manchado

    (Dpto. de Métodos Cuantitativos. Universidad Pontificia Comillas de Madrid)

Registered author(s):

    : El fraude académico es un fenómeno que, en un futuro próximo, adquirirá gran interés en España, debido a la implantación de los Reglamentos de Disciplina Académica en las Universidades. En el presente trabajo empírico se estudian los factores determinantes de las modalidades de fraude global y fraude específico en exámenes universitarios, mediante la estimación de modelos de elección discreta logit multinomiales, a partir de una muestra obtenida en la Facultad de Ciencias Económicas y Empresariales de una universidad española

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    File URL: http://eprints.ucm.es/6672/1/9820.pdf
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    Paper provided by Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales in its series Documentos de trabajo de la Facultad de Ciencias Económicas y Empresariales with number 1998-20.

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    Length: 51 pages
    Date of creation: 1998
    Date of revision:
    Handle: RePEc:ucm:doctra:98-20
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    1. Bordley, Robert F., 1990. "The dogit model is applicable even without perfectly captive buyers," Transportation Research Part B: Methodological, Elsevier, vol. 24(4), pages 315-323, August.
    2. Clifford Nowell & Doug Laufer, 1997. "Undergraduate Student Cheating in the Fields of Business and Economics," The Journal of Economic Education, Taylor & Francis Journals, vol. 28(1), pages 3-12, March.
    3. D. McFadden & J. Hausman, 1981. "Specification Tests for the Multinominal Logit Model," Working papers 292, Massachusetts Institute of Technology (MIT), Department of Economics.
    4. Fry, Tim R. L. & Harris, Mark N., 1996. "A Monte Carlo study of tests for the independence of irrelevant alternatives property," Transportation Research Part B: Methodological, Elsevier, vol. 30(1), pages 19-30, February.
    5. Small, Kenneth A & Hsiao, Cheng, 1985. "Multinomial Logit Specification Tests," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(3), pages 619-27, October.
    6. Gaundry, Marc J. I. & Dagenais, Marcel G., 1979. "The dogit model," Transportation Research Part B: Methodological, Elsevier, vol. 13(2), pages 105-111, June.
    7. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54 National Bureau of Economic Research, Inc.
    8. McCormick, Robert E & Tollison, Robert D, 1984. "Crime on the Court," Journal of Political Economy, University of Chicago Press, vol. 92(2), pages 223-35, April.
    9. Olmeda, Ignacio & Fernandez, Eugenio, 1997. "Hybrid Classifiers for Financial Multicriteria Decision Making: The Case of Bankruptcy Prediction," Computational Economics, Society for Computational Economics, vol. 10(4), pages 317-35, November.
    10. Horowitz, Joel, 1981. "Identification and diagnosis of specification errors in the multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 15(5), pages 345-360, October.
    11. Tse, Y K, 1987. "A Diagnostic Test for the Multinomial Logit Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 283-86, April.
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