Zachary ClementWhy overlooking robust covariance estimation can ruin your diff in diff analysisJul 7, 20231Jul 7, 20231
Zachary ClementinTowards DevCausal discovery using Julia: A brief introduction, a simulation, and a possible use caseIn situations where the causal structure a dataset is unknown, algorithms can be used to estimate DAGs for use in causual inference.May 18, 2023May 18, 2023
Zachary ClementUsing Burnside’s Lemma for Bracelet Counting: an Illustrated GuideBracelet counting can be counterintuitive, but it isn’t as perplexing as it may seemFeb 25, 2023Feb 25, 2023
Zachary ClementEstimating causal effects under sparsity using the econml packageA simulation study to evaluate performance of doubly robust estimation and double machine learning under sparsity.Feb 8, 20231Feb 8, 20231
Zachary ClementCausal Inference with high-dimensional data: An evaluation of the Double Machine Learning AlgorithmAn elastic net model used with the Double ML algorithm can yield unbiased estimates of causal effects, but variance estimation is less…Jan 16, 20231Jan 16, 20231
Zachary ClementDouble Machine Learning for Causal Inference from a Partially Linear ModelDouble/Debiased machine learning can be used to recover causal effects even if relationships between confounders and the treatment, and…Dec 31, 2022Dec 31, 2022
Zachary ClementinJuliaZoidUsing Julia to Simulate a Gift ExchangeJulia is a powerful tool when used to conduct simulation experimentsDec 29, 2022Dec 29, 2022
Zachary ClementinJuliaZoidSimulating Causal Effects with JuliaA brief introduction to DAGs, and a demonstration of how identifying backdoor paths can eliminate confoundingDec 27, 20221Dec 27, 20221