Bootstrapping Malmquist indices for Danish seiners in the North Sea and Skagerrak

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Bootstrapping Malmquist indices for Danish seiners in the North Sea and Skagerrak. / Hoff, Ayoe.

I: Journal of Applied Statistics, Bind 33, Nr. 9, 2006, s. 891-907.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Hoff, A 2006, 'Bootstrapping Malmquist indices for Danish seiners in the North Sea and Skagerrak', Journal of Applied Statistics, bind 33, nr. 9, s. 891-907. https://doi.org/10.1080/02664760600742151

APA

Hoff, A. (2006). Bootstrapping Malmquist indices for Danish seiners in the North Sea and Skagerrak. Journal of Applied Statistics, 33(9), 891-907. https://doi.org/10.1080/02664760600742151

Vancouver

Hoff A. Bootstrapping Malmquist indices for Danish seiners in the North Sea and Skagerrak. Journal of Applied Statistics. 2006;33(9):891-907. https://doi.org/10.1080/02664760600742151

Author

Hoff, Ayoe. / Bootstrapping Malmquist indices for Danish seiners in the North Sea and Skagerrak. I: Journal of Applied Statistics. 2006 ; Bind 33, Nr. 9. s. 891-907.

Bibtex

@article{654f5180a1c111ddb6ae000ea68e967b,
title = "Bootstrapping Malmquist indices for Danish seiners in the North Sea and Skagerrak",
abstract = "In connection with assessing how an ongoing development in fisheries management may change fishing activity, evaluation of total factor productivity (TFP) change over a period, including efficiency, scale and technology changes, is an important tool. The Malmquist index, based on distance functions evaluated with Data Envelopment Analysis (DEA), is often employed to estimate TFP changes. DEA is generally gaining attention for evaluating efficiency and capacity in fishery. One main criticism of DEA is that it does not have any statistical foundation, i.e. that it is not possible to make inference about DEA scores or related parameters. The bootstrap method for estimating confidence intervals of deterministic parameters can however be applied to estimate confidence intervals for DEA scores. This method is applied in the present paper for assessing TFP changes between 1987 and 1999 for the fleet of Danish seiners operating in the North Sea and the Skagerrak. ",
keywords = "Former LIFE faculty, Total factor productivity change, Malmquist index, data envelopement analysis, bootstrap",
author = "Ayoe Hoff",
year = "2006",
doi = "10.1080/02664760600742151",
language = "English",
volume = "33",
pages = "891--907",
journal = "Journal of Applied Statistics",
issn = "0266-4763",
publisher = "Routledge",
number = "9",

}

RIS

TY - JOUR

T1 - Bootstrapping Malmquist indices for Danish seiners in the North Sea and Skagerrak

AU - Hoff, Ayoe

PY - 2006

Y1 - 2006

N2 - In connection with assessing how an ongoing development in fisheries management may change fishing activity, evaluation of total factor productivity (TFP) change over a period, including efficiency, scale and technology changes, is an important tool. The Malmquist index, based on distance functions evaluated with Data Envelopment Analysis (DEA), is often employed to estimate TFP changes. DEA is generally gaining attention for evaluating efficiency and capacity in fishery. One main criticism of DEA is that it does not have any statistical foundation, i.e. that it is not possible to make inference about DEA scores or related parameters. The bootstrap method for estimating confidence intervals of deterministic parameters can however be applied to estimate confidence intervals for DEA scores. This method is applied in the present paper for assessing TFP changes between 1987 and 1999 for the fleet of Danish seiners operating in the North Sea and the Skagerrak.

AB - In connection with assessing how an ongoing development in fisheries management may change fishing activity, evaluation of total factor productivity (TFP) change over a period, including efficiency, scale and technology changes, is an important tool. The Malmquist index, based on distance functions evaluated with Data Envelopment Analysis (DEA), is often employed to estimate TFP changes. DEA is generally gaining attention for evaluating efficiency and capacity in fishery. One main criticism of DEA is that it does not have any statistical foundation, i.e. that it is not possible to make inference about DEA scores or related parameters. The bootstrap method for estimating confidence intervals of deterministic parameters can however be applied to estimate confidence intervals for DEA scores. This method is applied in the present paper for assessing TFP changes between 1987 and 1999 for the fleet of Danish seiners operating in the North Sea and the Skagerrak.

KW - Former LIFE faculty

KW - Total factor productivity change, Malmquist index, data envelopement analysis, bootstrap

U2 - 10.1080/02664760600742151

DO - 10.1080/02664760600742151

M3 - Journal article

VL - 33

SP - 891

EP - 907

JO - Journal of Applied Statistics

JF - Journal of Applied Statistics

SN - 0266-4763

IS - 9

ER -

ID: 8043390