Ali Furkan Kalay

I shared an example way of using ChatGPT earlier this week. Here is another one to increase the efficiency of a simple R code. In terms of speed gains, R often exhibits significant variation compared to Python. Sometimes it is extremely slow… I often try to find the most efficient way. So, [Read More]

Language models like ChatGPT have become an integral part of my daily life, both personally and professionally, ever since I started using them. One particular area where I’ve seen a significant improvement is in my prompt engineering skills. Here is one of the ways I have been using ChatGPT to save time. [Read More]

I have presented the Linked Administrative Data and Estimating Marginal Willingness to pay for Amenities (joint work with James Hansesn and Alicia N. Rambaldi) at Western Economic Association International @ Melbourne.

I presented Peer Effects in the Demand for Private Health Insurance (joint work with Alicia Rambaldi and Chris Rose) paper in Brown Bag Series at the University of Queensland.

I have been working on a project to create synthetic data for a long while. I have realized that the synthpop package was producing identical values, whereas it was supposed to be producing values from a predictive posterior distribution. I have been using the CART algorithm for its flexibility, but the model must be overfitting, even though I do not have too many variables. So, how can one prevent creating identical values? The answer was given in the article: “synthpop: An R package for generating synthetic versions of sensitive microdata for statistical disclosure control”. [Read More]