Warianty tytułu
Języki publikacji
Abstrakty
The goal of this study is to use quantile regression (QR) to find predictors of fishers' catch and compare it with OLS regression. The heterogeneous association across the different quantiles of the catch distribution was investigated using QR analysis. The findings reveal that the effect changes depending on where a fisher is in the catch distribution. In the OLS, there are several non-significant predictors that appear to be significant in quantile regression. By OLS regression, demographic variables have little effect on fishers' catch; but, in quantile regression, marital status, fishing hours, and use of motorized boats appeared to have a relatively high impact at the top of the distribution. (original abstract)
Słowa kluczowe
Rocznik
Tom
Numer
Strony
15--21
Opis fizyczny
Twórcy
autor
- Visayas State University, Philippines
Bibliografia
- Bernd, F., Roger, K., Machado, J. (2001). Economic Applications of Quantile Regression. Springer Science & Business Media.
- Birhanu, W. (2015). Determinants of Fish Production in Lake Ziway, Ethiopia. Available November 2020 at: http://repository.smuc.edu.et/bitstream/123456789/2484/1/Wubeshet Birhanu.pdf.
- Berry, D.W. (1993). Understanding Regression Assumptions, Issue 92. SAGE.
- Clark, C.W. (2013). Encyclopedia of Biodiversity (Second Edition). Available July 2021 at: https://www.sciencedirect.com/topics/earth-and-planetary-sciences/fishing-effort.
- Demena, B.A. (2011). Determinants of Fish Catch Levels in Artisanal Fishing in Eritrea. Available November 2020 at: https://www.researchgate.net/publication/301213420_Determinants_of_Fish_Catch_Levels_in_Artisanal_Fishing_in_Eritrea.
- Draper, N., Smith, H. (2014). Applied Regression Analysis. John Wiley & Sons.
- Food and Agriculture Organization of the United Nations (2021). Fisheries and Aquaculture. Available November 2020 at: http://www.fao.org/fishery/facp/PHL/en.
- Koenker, R., Bassett, G. (1978). Econometrica, 46(1). Available October 2020 at: https://people.eecs.berkeley.edu/~jordan/sail/readings/koenker-bassett.pdf.
- Oxford Business Group (2021). Available July 2021 at: https://oxfordbusinessgroup.com/overview/fertile-ground-sector-remains-key-economic-and-social-contributor.
- Philippine Statistics Authority (2016). Fishery Resources. Available October 2020 at: https://psa.gov.ph/.
- Philippine Statistics Authority (2021). Fishery Resources. Available October 2020 at: https://psa.gov.ph/fisheries- situationer.
- Purcell, S.W., Tagliafico, W., Cullis, B.R., Gogel, B.J. (2020). Understanding Gender and Factors Affecting Fishing in an Artisanal Shellfish Fishery. Available July 2021 at: https://www.frontiersin.org/articles/10.3389/fmars.2020.00297/full.
- Rare (2021). Available July 2021 at: https://rare.org/program/philippines/.
- Ratna, S., Wahyuddin, A., Arifin, H. (2018). Determinant Income of Fisherman's of West Center of Indonesia Journal of Entrepreneurship Education. Available October 2020 at: https://www.abacademies.org/articles/Determinant-income-of-fishermans-of-west-center-of-indonesia-1528-2651-21-3-200.pdf.
- Statista (2021). Available July 2021 at: https://www.statista.com/statistics/975932/fisheries-fishing-production- volume-philippines/.
- Waldmann, E. (2018). Quantile regression: A story on how and why. Statistical Modelling. Available October 2020 at: https://journals.sagepub.com/doi/abs/10.1177/1471082X18759142.
- Weisberg, S. (2013). Applied Linear Regression. John Wiley & Sons.
- Zella A.Y., Mpemba A. (2017). Determinants Influencing Fishing Income to the Coastal Households of Indian Ocean. Oceanogr Fish Open Access J. 2017; 4(3): 555640. DOI: 10.19080/OFOAJ.2017.04.555640.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171633600