The Determinants of Fish Catch: A Quantile Regression Approach
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 de...
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| Format: | Article |
| Language: | English |
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Warsaw University of Life Sciences Press
2021-06-01
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| Series: | Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego |
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| Online Access: | https://prs.sggw.edu.pl/article/view/2427 |
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| _version_ | 1832540951881449472 |
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| author | Mary Pleños |
| author_facet | Mary Pleños |
| author_sort | Mary Pleños |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-587dc3b6f353429aa6383be2b0ee9e67 |
| institution | Kabale University |
| issn | 2081-6960 2544-0659 |
| language | English |
| publishDate | 2021-06-01 |
| publisher | Warsaw University of Life Sciences Press |
| record_format | Article |
| series | Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego |
| spelling | doaj-art-587dc3b6f353429aa6383be2b0ee9e672025-02-04T10:43:12ZengWarsaw University of Life Sciences PressZeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego2081-69602544-06592021-06-0121210.22630/PRS.2021.21.2.6The Determinants of Fish Catch: A Quantile Regression ApproachMary Pleños0Visayas State University, PhilippinesThe 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.https://prs.sggw.edu.pl/article/view/2427quantile regressionfisherscatch |
| spellingShingle | Mary Pleños The Determinants of Fish Catch: A Quantile Regression Approach Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Problemy Rolnictwa Światowego quantile regression fishers catch |
| title | The Determinants of Fish Catch: A Quantile Regression Approach |
| title_full | The Determinants of Fish Catch: A Quantile Regression Approach |
| title_fullStr | The Determinants of Fish Catch: A Quantile Regression Approach |
| title_full_unstemmed | The Determinants of Fish Catch: A Quantile Regression Approach |
| title_short | The Determinants of Fish Catch: A Quantile Regression Approach |
| title_sort | determinants of fish catch a quantile regression approach |
| topic | quantile regression fishers catch |
| url | https://prs.sggw.edu.pl/article/view/2427 |
| work_keys_str_mv | AT maryplenos thedeterminantsoffishcatchaquantileregressionapproach AT maryplenos determinantsoffishcatchaquantileregressionapproach |