Devin Incerti does not blog much; only about 7 times in 4 years. When he does, however, it’s worth ..
Earlier this year, I reviewed one definition of causality: the Bradford Hill criteria. Now I move from ..
Let’s say we are interested in determining whether a particular treatment improves quality of life. ..
If you observe two things occuring, how can you know whether event A causes event B. For instance, consider ..
We all know that there are two types of statistics: frequentist and Bayesian. Frequentist approaches ..
How have discrete choice experiments changed over time? This is the question Soekhai et al. (2018) try to answer. ..
Oftentimes, you will ready a study that says, treatment A reduces the rate of something by X%, or the treatment ..
Difference-in-differences attempts to measure causal effects using changes in outcomes across different ..
QuantEcon is an interesting site from some high profile economists advocating for open-source tools for quantitative ..
Often times, researchers want to measure the effect of certain interventions in the real-world. Doing ..
What happens when you have missing data? Many people recommend using multiple imputation (see Briggs ..
What is the difference in health care cost when two different treatments are used? This question is challenging ..
Let’s say you have a test and it is composed of a bunch of different questions. Or you have a set of statistics–say ..
We health economists deal with medical cost data all the time. One challenge we all face is that the medical ..
IV methods are usually implemented using a two‐stage approach where the first stage estimates an expectation ..
Many researchers use logit models to estimate the effect of specific variables on a binary (i.e., 0 or 1) outcome. ..
Many studies use data on health care costs from multiple time periods. To make costs comparable over ..