The Determinants of Fish Catch: A Quantile Regression Approach

• Autorzy: Mary Cris F. Pleños
• Języki publikacji: EN

Abstrakty

EN

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

EN

Fishery; Quantile regression

PL

Rybołówstwo; Regresja kwantylowa

• Czasopismo: Zeszyty Naukowe SGGW w Warszawie. Problemy Rolnictwa Światowego
• Rocznik: 2021
• Tom: 21(36)
• Numer: z. 2
• Strony: 15--21

Twórcy

autor

Mary Cris F. Pleños

• Visayas State University, Philippines

Bibliografia

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Identyfikatory

DOI

10.22630/PRS.2021.21.2.6