Bootstrapping Malmquist indices for Danish seiners in the North Sea and Skagerrak
Research output: Contribution to journal › Journal article › Research › peer-review
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.
|Journal||Journal of Applied Statistics|
|Number of pages||17|
|Publication status||Published - 2006|
- Former LIFE faculty - Total factor productivity change, Malmquist index, data envelopement analysis, bootstrap