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An Application of Bootstrap Regression Method in Age Dependency Structure to the Community


Affiliations
1 Department of Statistics, Gauhati University, Guwahati, India
2 Jawaharlal Nehru School of Management, Assam University, Silchar, Assam, India
     

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The age dependency is an important factor to contribute to the economic structure of a family. In this work, the effect of age dependency on the economic sustainability in the families of Varanasi city has been observed. To deal with small sample size problem the boot strapping method has been used. The relevant calculations are done using the software R. It has been found that the presences of young dependent people make the families economically poor. However, the presences of old age people in the family make it economically sustainable.

Keywords

Bi-Square, Huber Estimator, M-Estimator, Re-Sampling Method
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  • An Application of Bootstrap Regression Method in Age Dependency Structure to the Community

Abstract Views: 286  |  PDF Views: 3

Authors

Atanu Bhattacharjee
Department of Statistics, Gauhati University, Guwahati, India
Hemanta Saikia
Jawaharlal Nehru School of Management, Assam University, Silchar, Assam, India

Abstract


The age dependency is an important factor to contribute to the economic structure of a family. In this work, the effect of age dependency on the economic sustainability in the families of Varanasi city has been observed. To deal with small sample size problem the boot strapping method has been used. The relevant calculations are done using the software R. It has been found that the presences of young dependent people make the families economically poor. However, the presences of old age people in the family make it economically sustainable.

Keywords


Bi-Square, Huber Estimator, M-Estimator, Re-Sampling Method

References