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Normal Half Normal Model for the Incorporation of exogenous factors on Efficiency analysis and its application

Shameena.H. Khan1 , L.Mary Louis2

  1. Department of Mathematics, Avinashilingam Institute for home science and higher education for women, Coimbatore, India.
  2. Department of Mathematics, Avinashilingam Institute for home science and higher education for women, Coimbatore, India.

Correspondence should be addressed to: shaminakhan@yahoo.com.


Section:Research Paper, Product Type: Isroset-Journal
Vol.4 , Issue.6 , pp.1-6, Dec-2017


CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v4i6.16


Online published on Dec 31, 2017


Copyright © Shameena.H. Khan, L.Mary Louis . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Shameena.H. Khan, L.Mary Louis , “Normal Half Normal Model for the Incorporation of exogenous factors on Efficiency analysis and its application,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.4, Issue.6, pp.1-6, 2017.

MLA Style Citation: Shameena.H. Khan, L.Mary Louis "Normal Half Normal Model for the Incorporation of exogenous factors on Efficiency analysis and its application." International Journal of Scientific Research in Mathematical and Statistical Sciences 4.6 (2017): 1-6.

APA Style Citation: Shameena.H. Khan, L.Mary Louis , (2017). Normal Half Normal Model for the Incorporation of exogenous factors on Efficiency analysis and its application. International Journal of Scientific Research in Mathematical and Statistical Sciences, 4(6), 1-6.

BibTex Style Citation:
@article{Khan_2017,
author = {Shameena.H. Khan, L.Mary Louis },
title = {Normal Half Normal Model for the Incorporation of exogenous factors on Efficiency analysis and its application},
journal = {International Journal of Scientific Research in Mathematical and Statistical Sciences},
issue_date = {12 2017},
volume = {4},
Issue = {6},
month = {12},
year = {2017},
issn = {2347-2693},
pages = {1-6},
url = {https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=503},
doi = {https://doi.org/10.26438/ijcse/v4i6.16}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v4i6.16}
UR - https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=503
TI - Normal Half Normal Model for the Incorporation of exogenous factors on Efficiency analysis and its application
T2 - International Journal of Scientific Research in Mathematical and Statistical Sciences
AU - Shameena.H. Khan, L.Mary Louis
PY - 2017
DA - 2017/12/31
PB - IJCSE, Indore, INDIA
SP - 1-6
IS - 6
VL - 4
SN - 2347-2693
ER -

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Abstract :
Present study focused on the effect of exogenous factors on the efficiency level of a firm. In this paper we have derived a model by assuming normal-half normal distribution for the error terms and .Parameter estimation was done using maximum likelihood estimates. In order to assess the impact of exogenous factors on the efficiencies of a firm the model is applied to a data of 155 maize farmers. Weather, Economic conditions of farmer, Market status and damages to the crop due to bird attack are considered as exogenous factors for the study. Results showed that damages had a significant effect on the efficiency of production output. Goodness of fit test showed that our model is fitted with baseline comparison values. Null hypothesis is rejected. Computational analysis was done using SEM in Stata.

Key-Words / Index Term :
Normal half normal, Exogenous factors, Cost efficiency, Goodness of fit, maximum likelihood estimates, Null hypothesis

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[8] Subal C Kumbhakar, Hung-Jen wang and Alan P Horncastle, “A Practitioner’s guide to stochastic frontier analysis using Stata”,Cambridge University Press,ISBN:978-1-107-60946-4,2015.
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