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Data and analysis code for Dayton and Tokunaga (2023) "Economic Diversity of Maine's American Lobster Fishery" DOI:10.1139/cjfas-2022-0096

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2023-cjfas-dayton-tokunaga

Data and analysis code to reproduce results reported in Dayton, A. M., & Tokunaga, K. (2023). Economic Diversity of Maine’s American Lobster Fishery. Canadian Journal of Fisheries and Aquatic Sciences, cjfas-2022-0096. https://doi.org/10.1139/cjfas-2022-0096

Contact corresponding author to access survey questions and responses (identifiable information removed) used in the analysis.

Contact corresponding author: ktokunaga (at) gmri.org

Latent class stochastic profit frontier analysis

22_lc-profit-frontier-rev5_R1_pub.Rmd

Input data

Input data for the latent class stochastic profit frontier analysis (identifiable information removed)

input_data_20220203_selfreported.csv

Shapefile for lobster managemetn zone map

shapefiles > LobsterZones

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Data and analysis code for Dayton and Tokunaga (2023) "Economic Diversity of Maine's American Lobster Fishery" DOI:10.1139/cjfas-2022-0096

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