Application of Binary Logistic Regression in Modelling Women’s Participation in Improving the Welfare of Fishermen Families

DOI

10.2991/assehr.k.201010.026How to use a DOI?

Keywords

binary logistic regression, probit, logit, women’s participation, accuracy, pseudo R

Abstract

Indonesia is an archipelagic country with enormous marine potential. Development in the marine sector is expected to encourage recovery and improvement of the people’s economy. This is reasonable because Indonesia has large fisheries resources which include aquaculture, seaweed cultivation, freshwater aquaculture, or marine biotechnology. However, these resources have not been optimized to improve the welfare of fishing communities. This situation urged some fishermen’s wives to work in order to improve family welfare. This research discusses about application of binary logistic regression in modelling women’s participation in improving the welfare of fishermen families. Variables that are predicted to influence the participation of fishermen wives in improving family welfare are age, education, number of members and family economic burden, average family income, asset ownership, and positive husband’s attitude towards wife. The sample of this study was 159 fishing households on the southern coast of Indonesia. Based on the binary logistic regression approach, specifically the logit model and the probit model, the results of the analysis show that the number of family dependent, asset ownership, and positive husband attitudes influence the participation of women in improving the welfare of fishermen families. Based on the accuracy value and the Pseudo R-squared, the logit model and the probit model statistically show the same results for factors related to women’s participation in improving the fisheries household economy.

Copyright

© 2020, 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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TY  - CONF
AU  - Kariyam
AU  - Fatma Hanani
PY  - 2020
DA  - 2020/10/11
TI  - Application of Binary Logistic Regression in Modelling Women’s Participation in Improving the Welfare of Fishermen Families
BT  - Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019)
PB  - Atlantis Press
SP  - 179
EP  - 185
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201010.026
DO  - 10.2991/assehr.k.201010.026
ID  - 2020
ER  -