GitHub - sagebiej/riskreplication: This is data and code for the paper "Farmers’ risk preferences in eleven European farming systems: A multi-country replication of Bocquého et al. (2014)" For all material, go to https://osf.io/hvmj6/?view

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This is data and code for the paper "Farmers’ risk preferences in eleven European farming systems: A multi-country replication of Bocquého et al. (2014)" For all material, go to https://osf.io/hvmj6/?view_only=30164dad9dce4cb199bf47e70cf29945

osf.io/hvmj6/?view_only=30164dad9dce4cb199bf47e70cf29945

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
Eurostat		Eurostat
data		data
manuscript_files		manuscript_files
storedResults		storedResults
surveyexample		surveyexample
Analysis_ReplicationRisk_Real.Rproj		Analysis_ReplicationRisk_Real.Rproj
Appendix.Rmd		Appendix.Rmd
Appendix.html		Appendix.html
ML estimation.R		ML estimation.R
ML estimation_robustness1_drop_obs.R		ML estimation_robustness1_drop_obs.R
ML estimation_robustness2_drop_speeder.R		ML estimation_robustness2_drop_speeder.R
ML estimation_robustness3_drop_uncertain.R		ML estimation_robustness3_drop_uncertain.R
descriptives.R		descriptives.R
functions.R		functions.R
graph_errorML.R		graph_errorML.R
main.R		main.R
mid-point.R		mid-point.R
midpoint_functions.R		midpoint_functions.R
ml_functions.R		ml_functions.R
preamble.R		preamble.R
prepare_Eurostat.R		prepare_Eurostat.R
readme.txt		readme.txt
tables_manuscript.R		tables_manuscript.R

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For further material such as questionaires, videos etc. visit https://osf.io/hvmj6/?view_only=30164dad9dce4cb199bf47e70cf29945 

This repository provides the whole code and data used in the paper

Open the file "main.R" and source it 
Some scripts are commented out because the take long to run. If you want to run them, uncomment them in the file "main.R"

To generate the appendix html file, knit the file "Appendix.Rmd"

The original data and code from BJR2014 is in the folder replicate_original.

The file "replication_ml.dta"" is a Stata dataset prepared for ML estimation in Stata.