To the best of my knowledge, there are three ways of designing choice experiments in R: full factorial designs developed…
Designing an experiment design with the support.CEs package: comparing designs (2)
Today I will follow up on designing choice experiments using R by exploring further the support.CEs package develoepd by Aizaki…
Change in consumer surplus in R
I want to share a short code to calculate change in consumer surplus in R after a regression. I will…
Power Calculations for Count Data
I have been deep into count data modelling in the past few months and writing some papers on analysis of…
Designing an experiment design with the support.CEs package: the first design (1)
Many of us apply discrete choice experiments (CE) to value non-market amenities. A crucial part of implementing a choice experiment…
Routines to account for truncation and endogenous stratification: Shi and Huang (2018)’s approach
Previously I have addressed the problems of on-site sampling bias. Let me refresh that discussion. Suppose you have gotten data…
Extracting meta data from scientific papers (2): extracting text data from multiple pdf files
I have gotten involved in a large literature review effort. After screening the literature, we found many potentially interesting papers.…
Using Web scraping in literature reviews
Data scraping is the practice of extracting data in an automated way. Web-scraping simply means to extract this information from…
Using R as an educational tool: Shiny apps
How can we make teaching more appealing and interactive? R has many functionalities, namely Shiny Apps. A Shiny application is…
Calculating distances and time for the travel cost variable: the OSRM package
I have previously shown how to calculate travel distances and times using the Google Maps API query in two blog…
An Environmental Economist's Guide to R 