Reproducible research is fundamentally important and is not done well in social sciences e.g., here or here or here.
My data and research code is freely available here: https://github.com/pmpk20/
The code for my thesis is pretty horrible, but I promise the more recent scripts are better.
Let me know if there is anything missing - sometimes estimation objects are because they are really large filesizes.
If you are a student in choice modelling/survey methods and have a questions on why/how I did something, please feel free to email me.
Final replication code for "Willingness-to-pay for precautionary control of microplastics, a comparison of hybrid choice models" (Journal of Environmental Economics and Policy, 2023, https://doi.org/10.1080/21606544.2022.2146757) is available here: https://github.com/pmpk20/PhDHybridChoiceModelPaper
Not particularly nice code be warned.
Final replication code for "Stated preferences for the colours, smells, and sounds of biodiversity" (Ecological Economics, 2025, https://doi.org/10.1016/j.ecolecon.2024.108410) is available here: https://github.com/pmpk20/WinterPaper and here: https://data.kent.ac.uk/480/
Okay this I'm mostly happy with. Some chatgpt-inspired tidying helped.
Scripts numbered according to order of execution.
If some output data is missing that's bc the filesize is insane. I might be able to email it you if need.
Final code and anonymised data for "How confident are you in the ability of experts to provide reliable information? Evidence from a choice experiment on microplastics" (Environment and Development Economics, 2025) is publicly available here: https://github.com/pmpk20/PhD_CEPaper
This one starts with cleaned data already, the actual raw survey responses -> cleaned data is in my PhD repo, but the rest of the paper can be replicated from here.
I report session information for the scripts to run on my machine, but let me know if there is some issue.
Final code, market data, and simulation output for "Economic valuation of pest regulation benefits provided by arthropods in the UK" (Ecosystem Services, 2025) is publicly available here: https://github.com/pmpk20/DruidD1 and https://doi.org/10.5518/1674
So this is code to simulate an economic production function across different crops and parameters. It's setup to replicate the paper as published but it shouldn't be too difficult to tweak the number of iterations, the yield response, the pest x natural enemy interactions, the input data etc., and other parameters if you want. Let me know if you want to work on it.
Future work should apply this spatially.