Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)

Comparison and Summarization of Measurement Methods of Human Capital Stock

Authors
Zhili Ren, Pei Zhang
Corresponding Author
Zhili Ren
Available Online August 2018.
DOI
10.2991/icesem-18.2018.78How to use a DOI?
Keywords
Production Function; The Stock of Human Capital; The Perpetual Inventory Method; The Cost Weighted Method
Abstract

This paper first analyzes three representative methods of human capital stock measurement methods, wherein each method of data involved in the index selection problem, elaborates on the missing data estimation problem, and then analyzes and compares the estimation results. Finally, the paper reaches a conclusion that there are many differences between calculation results. Therefore, it still requires a long-term exploration and research to achieve a more accurate estimate of human capital.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2018
ISBN
10.2991/icesem-18.2018.78
ISSN
2352-5398
DOI
10.2991/icesem-18.2018.78How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhili Ren
AU  - Pei Zhang
PY  - 2018/08
DA  - 2018/08
TI  - Comparison and Summarization of Measurement Methods of Human Capital Stock
BT  - Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)
PB  - Atlantis Press
SP  - 342
EP  - 345
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesem-18.2018.78
DO  - 10.2991/icesem-18.2018.78
ID  - Ren2018/08
ER  -