Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis

Ngetich Titus; Karanjah Anthony; Cheruiyot Kipkoech

doi:doi:10.11648/j.ajtas.20200906.12

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Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis

Ngetich Titus, Karanjah Anthony, Cheruiyot Kipkoech

Published in American Journal of Theoretical and Applied Statistics (Volume 9, Issue 6)

Received: 27 September 2020 Accepted: 24 October 2020 Published: 4 November 2020

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Abstract

This study focused on impact assessment of indigenous Chicken (KALRO Improved Chicken) in terms of the Socio-economic Status of the beneficiaries. Data analyzed comprised of household assets owned and housing characteristics. Studies have been done to assess the impact of new agricultural technologies to the beneficiaries, however, the measurement of the impact indicator (Socio-economic Status) has been a challenge. Studies rely on monetary data (reported income and expenditure), however the collection of high quality (precise and accurate) income data and expenditure is difficult and requires more resources particularly for household surveys, this approach is usually affected by unreliable reportage and measurement error, high-quality income data and expenditure will still produce biased estimates of household socio-economic status because they measure economic flows which are stochastic and include temporary income shocks. This study used principal component analysis model (PCA) to create an asset index to measure Socio-economic status. It was concluded that PCA is reliable in creating an asset index for measuring Socio-economic status, the results showed that about 40% of the households in Machakos County were poor which implies a small decline compared to 42.6% reported on [11] conducted by Kenya National Bureau of Statistics.

Published in	American Journal of Theoretical and Applied Statistics (Volume 9, Issue 6)
DOI	10.11648/j.ajtas.20200906.12
Page(s)	267-271
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), 2020. Published by Science Publishing Group

Keywords

Principal Component Analysis, Socio-economic Status, KALRO Improved Chicken

References

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Ngetich Titus, Karanjah Anthony, Cheruiyot Kipkoech. (2020). Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis. American Journal of Theoretical and Applied Statistics, 9(6), 267-271. https://doi.org/10.11648/j.ajtas.20200906.12

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Ngetich Titus; Karanjah Anthony; Cheruiyot Kipkoech. Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis. Am. J. Theor. Appl. Stat. 2020, 9(6), 267-271. doi: 10.11648/j.ajtas.20200906.12

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AMA Style

Ngetich Titus, Karanjah Anthony, Cheruiyot Kipkoech. Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis. Am J Theor Appl Stat. 2020;9(6):267-271. doi: 10.11648/j.ajtas.20200906.12

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@article{10.11648/j.ajtas.20200906.12,
  author = {Ngetich Titus and Karanjah Anthony and Cheruiyot Kipkoech},
  title = {Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {9},
  number = {6},
  pages = {267-271},
  doi = {10.11648/j.ajtas.20200906.12},
  url = {https://doi.org/10.11648/j.ajtas.20200906.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20200906.12},
  abstract = {This study focused on impact assessment of indigenous Chicken (KALRO Improved Chicken) in terms of the Socio-economic Status of the beneficiaries. Data analyzed comprised of household assets owned and housing characteristics. Studies have been done to assess the impact of new agricultural technologies to the beneficiaries, however, the measurement of the impact indicator (Socio-economic Status) has been a challenge. Studies rely on monetary data (reported income and expenditure), however the collection of high quality (precise and accurate) income data and expenditure is difficult and requires more resources particularly for household surveys, this approach is usually affected by unreliable reportage and measurement error, high-quality income data and expenditure will still produce biased estimates of household socio-economic status because they measure economic flows which are stochastic and include temporary income shocks. This study used principal component analysis model (PCA) to create an asset index to measure Socio-economic status. It was concluded that PCA is reliable in creating an asset index for measuring Socio-economic status, the results showed that about 40% of the households in Machakos County were poor which implies a small decline compared to 42.6% reported on [11] conducted by Kenya National Bureau of Statistics.},
 year = {2020}
}

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TY  - JOUR
T1  - Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis
AU  - Ngetich Titus
AU  - Karanjah Anthony
AU  - Cheruiyot Kipkoech
Y1  - 2020/11/04
PY  - 2020
N1  - https://doi.org/10.11648/j.ajtas.20200906.12
DO  - 10.11648/j.ajtas.20200906.12
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 267
EP  - 271
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20200906.12
AB  - This study focused on impact assessment of indigenous Chicken (KALRO Improved Chicken) in terms of the Socio-economic Status of the beneficiaries. Data analyzed comprised of household assets owned and housing characteristics. Studies have been done to assess the impact of new agricultural technologies to the beneficiaries, however, the measurement of the impact indicator (Socio-economic Status) has been a challenge. Studies rely on monetary data (reported income and expenditure), however the collection of high quality (precise and accurate) income data and expenditure is difficult and requires more resources particularly for household surveys, this approach is usually affected by unreliable reportage and measurement error, high-quality income data and expenditure will still produce biased estimates of household socio-economic status because they measure economic flows which are stochastic and include temporary income shocks. This study used principal component analysis model (PCA) to create an asset index to measure Socio-economic status. It was concluded that PCA is reliable in creating an asset index for measuring Socio-economic status, the results showed that about 40% of the households in Machakos County were poor which implies a small decline compared to 42.6% reported on [11] conducted by Kenya National Bureau of Statistics.
VL  - 9
IS  - 6
ER  -

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Author Information

Ngetich Titus

Department of Mathematics, Multimedia University of Kenya, Nairobi, Kenya
Karanjah Anthony

Department of Mathematics, Multimedia University of Kenya, Nairobi, Kenya
Cheruiyot Kipkoech

Department of Mathematics, Technical University of Kenya, Nairobi, Kenya

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APA Style

Ngetich Titus, Karanjah Anthony, Cheruiyot Kipkoech. (2020). Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis. American Journal of Theoretical and Applied Statistics, 9(6), 267-271. https://doi.org/10.11648/j.ajtas.20200906.12

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ACS Style

Ngetich Titus; Karanjah Anthony; Cheruiyot Kipkoech. Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis. Am. J. Theor. Appl. Stat. 2020, 9(6), 267-271. doi: 10.11648/j.ajtas.20200906.12

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AMA Style

Ngetich Titus, Karanjah Anthony, Cheruiyot Kipkoech. Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis. Am J Theor Appl Stat. 2020;9(6):267-271. doi: 10.11648/j.ajtas.20200906.12

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@article{10.11648/j.ajtas.20200906.12,
  author = {Ngetich Titus and Karanjah Anthony and Cheruiyot Kipkoech},
  title = {Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {9},
  number = {6},
  pages = {267-271},
  doi = {10.11648/j.ajtas.20200906.12},
  url = {https://doi.org/10.11648/j.ajtas.20200906.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20200906.12},
  abstract = {This study focused on impact assessment of indigenous Chicken (KALRO Improved Chicken) in terms of the Socio-economic Status of the beneficiaries. Data analyzed comprised of household assets owned and housing characteristics. Studies have been done to assess the impact of new agricultural technologies to the beneficiaries, however, the measurement of the impact indicator (Socio-economic Status) has been a challenge. Studies rely on monetary data (reported income and expenditure), however the collection of high quality (precise and accurate) income data and expenditure is difficult and requires more resources particularly for household surveys, this approach is usually affected by unreliable reportage and measurement error, high-quality income data and expenditure will still produce biased estimates of household socio-economic status because they measure economic flows which are stochastic and include temporary income shocks. This study used principal component analysis model (PCA) to create an asset index to measure Socio-economic status. It was concluded that PCA is reliable in creating an asset index for measuring Socio-economic status, the results showed that about 40% of the households in Machakos County were poor which implies a small decline compared to 42.6% reported on [11] conducted by Kenya National Bureau of Statistics.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Measuring the Socio-economic Status of Adopters of Indigenous Chicken in Mwala and Machakos Central, Kenya: Application of Principal Component Analysis
AU  - Ngetich Titus
AU  - Karanjah Anthony
AU  - Cheruiyot Kipkoech
Y1  - 2020/11/04
PY  - 2020
N1  - https://doi.org/10.11648/j.ajtas.20200906.12
DO  - 10.11648/j.ajtas.20200906.12
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 267
EP  - 271
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20200906.12
AB  - This study focused on impact assessment of indigenous Chicken (KALRO Improved Chicken) in terms of the Socio-economic Status of the beneficiaries. Data analyzed comprised of household assets owned and housing characteristics. Studies have been done to assess the impact of new agricultural technologies to the beneficiaries, however, the measurement of the impact indicator (Socio-economic Status) has been a challenge. Studies rely on monetary data (reported income and expenditure), however the collection of high quality (precise and accurate) income data and expenditure is difficult and requires more resources particularly for household surveys, this approach is usually affected by unreliable reportage and measurement error, high-quality income data and expenditure will still produce biased estimates of household socio-economic status because they measure economic flows which are stochastic and include temporary income shocks. This study used principal component analysis model (PCA) to create an asset index to measure Socio-economic status. It was concluded that PCA is reliable in creating an asset index for measuring Socio-economic status, the results showed that about 40% of the households in Machakos County were poor which implies a small decline compared to 42.6% reported on [11] conducted by Kenya National Bureau of Statistics.
VL  - 9
IS  - 6
ER  -

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