The Accurate Identification of College Students in Financial Hardship Based on Growth Background

An Shuting; Chen Yuxin; Dai Wanping

doi:doi:10.11648/j.ijsd.20170301.11

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The Accurate Identification of College Students in Financial Hardship Based on Growth Background

An Shuting, Chen Yuxin, Dai Wanping

Published in International Journal of Statistical Distributions and Applications (Volume 3, Issue 1)

Received: 16 March 2017 Accepted: 23 March 2017 Published: 14 April 2017

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Abstract

Funding college students in financial hardship is one of the most important works in the reform and development of Chinese higher education. In this paper, in order to enhance efficiency and establish uniform standards in identifying the college students in financial hardship, an index system is proposed considering the background of students. This index system is used to measure his/her family wealth index and, applying the binary Logistic regression model, the validity of the indexes is examined. The TOPSIS model is then utilized for the estimation of the family wealth index, and the data from South-Central Minzu University is used to perform the empirical analysis. The results show that the accuracy rate is 71.43%, and the sensitivity analysis indicates that the proposed model is robust.

Published in	International Journal of Statistical Distributions and Applications (Volume 3, Issue 1)
DOI	10.11648/j.ijsd.20170301.11
Page(s)	1-6
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Students in Financial Hardship, Binary Logistic Regression Model, Family Wealth Index, Topsis Model

References

[1]	He F. (2011): “The Existing Problems and Strategies in Identification of College Students in Financial hardship”, Ideological and Political Education Research, Vol. 27, No. 1, pp. 132-134. (In Chinese).
[2]	Wang M., Wang S. (2013): “Econometric Analysis of the State Grant Assessment Factors: A. Case Study on Poisson Regression Model Based on the National Institutes of Hubei”, Journal of Zhengzhou Normal Education, Vol. 2, No. 2, pp. 84-87. (In Chinese).
[3]	Yang X. (2009): “Thinking and Practice on the Model of Identifying College Students with Financial Difficulties”, Ideological and Theoretical Education, Vol. 33, No. 2, pp. 79-82. (In Chinese).
[4]	Jin X. (2009): “Implementation of Double Aid to ensure the sustainable development of Funding College Students”, Chinese Higher Education, Vol. 53, No. 3, pp. 70-71. (In Chinese).
[5]	Jensen E. (1996): “The fertility impact of alternative family distribution channels in Indonesia”, De-mography, Vol. 33, No. 1, pp. 153-165.
[6]	Dargent-Molina P., James S., Strpoatz D., Savitz D. (1994): “Association between maternal education and infant diarrhea in different household and community environments”, Social Science and Medicine, Vol. 38, No. 2, pp. 343-350.
[7]	Layte R., Maitre B., Nolan B., Whelan C. (2001): “Persistent and consistent poverty in the 1994 and 1995 waves of the European Community Household Pane”, Review of Income and Wealth, Vol. 47, No. 4, pp. 427-450.
[8]	Tian Z., Yuan L. (2010): “Empirical Analysis on Identifying Needy College Students with Non-income Indicators”, Peking University Education Review, Vol. 8, No. 2, pp. 145-157. (In Chinese).
[9]	Si S., Sun X. (2011): “Mathematical Modeling Algorithm and Its Application”, National Defense Industry Press. (In Chinese).
[10]	Jia J., He X. (2015): “Statistics (sixth edition)”, China Renmin University Press. (In Chinese).

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APA Style

An Shuting, Chen Yuxin, Dai Wanping. (2017). The Accurate Identification of College Students in Financial Hardship Based on Growth Background. International Journal of Statistical Distributions and Applications, 3(1), 1-6. https://doi.org/10.11648/j.ijsd.20170301.11

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ACS Style

An Shuting; Chen Yuxin; Dai Wanping. The Accurate Identification of College Students in Financial Hardship Based on Growth Background. Int. J. Stat. Distrib. Appl. 2017, 3(1), 1-6. doi: 10.11648/j.ijsd.20170301.11

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AMA Style

An Shuting, Chen Yuxin, Dai Wanping. The Accurate Identification of College Students in Financial Hardship Based on Growth Background. Int J Stat Distrib Appl. 2017;3(1):1-6. doi: 10.11648/j.ijsd.20170301.11

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@article{10.11648/j.ijsd.20170301.11,
  author = {An Shuting and Chen Yuxin and Dai Wanping},
  title = {The Accurate Identification of College Students in Financial Hardship Based on Growth Background},
  journal = {International Journal of Statistical Distributions and Applications},
  volume = {3},
  number = {1},
  pages = {1-6},
  doi = {10.11648/j.ijsd.20170301.11},
  url = {https://doi.org/10.11648/j.ijsd.20170301.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20170301.11},
  abstract = {Funding college students in financial hardship is one of the most important works in the reform and development of Chinese higher education. In this paper, in order to enhance efficiency and establish uniform standards in identifying the college students in financial hardship, an index system is proposed considering the background of students. This index system is used to measure his/her family wealth index and, applying the binary Logistic regression model, the validity of the indexes is examined. The TOPSIS model is then utilized for the estimation of the family wealth index, and the data from South-Central Minzu University is used to perform the empirical analysis. The results show that the accuracy rate is 71.43%, and the sensitivity analysis indicates that the proposed model is robust.},
 year = {2017}
}

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TY  - JOUR
T1  - The Accurate Identification of College Students in Financial Hardship Based on Growth Background
AU  - An Shuting
AU  - Chen Yuxin
AU  - Dai Wanping
Y1  - 2017/04/14
PY  - 2017
N1  - https://doi.org/10.11648/j.ijsd.20170301.11
DO  - 10.11648/j.ijsd.20170301.11
T2  - International Journal of Statistical Distributions and Applications
JF  - International Journal of Statistical Distributions and Applications
JO  - International Journal of Statistical Distributions and Applications
SP  - 1
EP  - 6
PB  - Science Publishing Group
SN  - 2472-3509
UR  - https://doi.org/10.11648/j.ijsd.20170301.11
AB  - Funding college students in financial hardship is one of the most important works in the reform and development of Chinese higher education. In this paper, in order to enhance efficiency and establish uniform standards in identifying the college students in financial hardship, an index system is proposed considering the background of students. This index system is used to measure his/her family wealth index and, applying the binary Logistic regression model, the validity of the indexes is examined. The TOPSIS model is then utilized for the estimation of the family wealth index, and the data from South-Central Minzu University is used to perform the empirical analysis. The results show that the accuracy rate is 71.43%, and the sensitivity analysis indicates that the proposed model is robust.
VL  - 3
IS  - 1
ER  -

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Author Information

An Shuting

College of Biomedical Engineering, South-Central Minzu University, Wuhan, PR China
Chen Yuxin

College of Biomedical Engineering, South-Central Minzu University, Wuhan, PR China
Dai Wanping

College of Biomedical Engineering, South-Central Minzu University, Wuhan, PR China

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Plain Text BibTeX RIS

APA Style

An Shuting, Chen Yuxin, Dai Wanping. (2017). The Accurate Identification of College Students in Financial Hardship Based on Growth Background. International Journal of Statistical Distributions and Applications, 3(1), 1-6. https://doi.org/10.11648/j.ijsd.20170301.11

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ACS Style

An Shuting; Chen Yuxin; Dai Wanping. The Accurate Identification of College Students in Financial Hardship Based on Growth Background. Int. J. Stat. Distrib. Appl. 2017, 3(1), 1-6. doi: 10.11648/j.ijsd.20170301.11

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AMA Style

An Shuting, Chen Yuxin, Dai Wanping. The Accurate Identification of College Students in Financial Hardship Based on Growth Background. Int J Stat Distrib Appl. 2017;3(1):1-6. doi: 10.11648/j.ijsd.20170301.11

Copy | Download

@article{10.11648/j.ijsd.20170301.11,
  author = {An Shuting and Chen Yuxin and Dai Wanping},
  title = {The Accurate Identification of College Students in Financial Hardship Based on Growth Background},
  journal = {International Journal of Statistical Distributions and Applications},
  volume = {3},
  number = {1},
  pages = {1-6},
  doi = {10.11648/j.ijsd.20170301.11},
  url = {https://doi.org/10.11648/j.ijsd.20170301.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20170301.11},
  abstract = {Funding college students in financial hardship is one of the most important works in the reform and development of Chinese higher education. In this paper, in order to enhance efficiency and establish uniform standards in identifying the college students in financial hardship, an index system is proposed considering the background of students. This index system is used to measure his/her family wealth index and, applying the binary Logistic regression model, the validity of the indexes is examined. The TOPSIS model is then utilized for the estimation of the family wealth index, and the data from South-Central Minzu University is used to perform the empirical analysis. The results show that the accuracy rate is 71.43%, and the sensitivity analysis indicates that the proposed model is robust.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - The Accurate Identification of College Students in Financial Hardship Based on Growth Background
AU  - An Shuting
AU  - Chen Yuxin
AU  - Dai Wanping
Y1  - 2017/04/14
PY  - 2017
N1  - https://doi.org/10.11648/j.ijsd.20170301.11
DO  - 10.11648/j.ijsd.20170301.11
T2  - International Journal of Statistical Distributions and Applications
JF  - International Journal of Statistical Distributions and Applications
JO  - International Journal of Statistical Distributions and Applications
SP  - 1
EP  - 6
PB  - Science Publishing Group
SN  - 2472-3509
UR  - https://doi.org/10.11648/j.ijsd.20170301.11
AB  - Funding college students in financial hardship is one of the most important works in the reform and development of Chinese higher education. In this paper, in order to enhance efficiency and establish uniform standards in identifying the college students in financial hardship, an index system is proposed considering the background of students. This index system is used to measure his/her family wealth index and, applying the binary Logistic regression model, the validity of the indexes is examined. The TOPSIS model is then utilized for the estimation of the family wealth index, and the data from South-Central Minzu University is used to perform the empirical analysis. The results show that the accuracy rate is 71.43%, and the sensitivity analysis indicates that the proposed model is robust.
VL  - 3
IS  - 1
ER  -

Copy | Download