Omitted Variable Bias by Simulation
Overview In simulation, we can show that omitting a variable \(x_2\) can cause the point estimates for a correlated variable \(x_1\) to change from (positive) \(0.999\) with a p-value of nearly zero, to (negative!) \(-0.512\), also with a p-value of nearly zero! More generally, this reinforces the mantra that unless...
Moving Average in R, tidyverse
Problem Given some dataset, you might want to find the rolling or moving average. We can visualize this in a sample dataset as follows. Note, the k-lag moving average we want, MA-k, is the mean of the last k observations in time, including the current one. # A tibble: 48...
Build a Neural Network with Julia
Audience If you’re reading this, I assume you are already motivated to learn how a neural network actually works. They are relevant and powerful tools, so the sell shouldn’t be too difficult anyway. There are many other excellent guides out there that I will link to below. If you find...
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A blog on data, prediction, and causal inference.
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