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Risk’s and uncertainty in the knowledge economy

Author

Listed:
  • Achim, Marian
  • Neamtu, Ion

Abstract

In the context of a bright economy towards we aim the insurances represent are activity branch a services department with a financial character and with many valences. Beyond of the essential role of these is that the protection of the properties and the persons too between the various risks, the insurances accomplish many socio-economic functions like as attending as an offeror on the loan capital’s market the achievement of investment by resources or on the value document’s market, the creation of P.I.B. and the creation of jobs. The specialized bearers of risk are presented in any national economy in nowadays and they always take over them the risks which threaten the physical persons and the juridical persons, offering them a high level of certainty in change of the insurance’s prices. Consequently these specialized societies which accomplish the insurant role just unload of their contact partners which are the insurants by material consequences of the risks which threaten them. The insurance premium is the cost which is payed by insurants to the insurer, this being much more reduced than the damage which it could suffer in case by producing an insurant risk. This can be a protection form between the worst events which can appear and influence the human life and the economic agent’s activity.

Suggested Citation

  • Achim, Marian & Neamtu, Ion, 2009. "Risk’s and uncertainty in the knowledge economy," MPRA Paper 14379, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:14379
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    File URL: https://mpra.ub.uni-muenchen.de/14379/1/MPRA_paper_14379.pdf
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    References listed on IDEAS

    as
    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    3. Kneip, Alois & Park, Byeong U. & Simar, L opold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(06), pages 783-793, December.
    4. Ouellette, Pierre & Vierstraete, Valerie, 2004. "Technological change and efficiency in the presence of quasi-fixed inputs: A DEA application to the hospital sector," European Journal of Operational Research, Elsevier, vol. 154(3), pages 755-763, May.
    5. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    6. Silva Portela, Maria Conceicao A. & Thanassoulis, Emmanuel, 2001. "Decomposing school and school-type efficiency," European Journal of Operational Research, Elsevier, vol. 132(2), pages 357-373, July.
    7. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    8. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    9. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    10. Muniz, M. A., 2002. "Separating managerial inefficiency and external conditions in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(3), pages 625-643, December.
    11. Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
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    More about this item

    Keywords

    economy/ risk/ evaluation;

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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