https://kfigarri.github.io/tags/causal-inference/Causal InferenceHugo Blox Builder (https://hugoblox.com)en-usFri, 25 Mar 2022 00:00:00 +0000https://kfigarri.github.io/media/icon_hu1335818982437251170.pnghttps://kfigarri.github.io/tags/causal-inference/https://kfigarri.github.io/post/difference-in-differences/Fri, 25 Mar 2022 00:00:00 +0000https://kfigarri.github.io/post/difference-in-differences/<h2 id="overview">Overview</h2> <p>How do you know if your new business strategy actually worked or if the trend was going to happen anyway? In this article, I introduce the Difference-in-Differences (DiD) method, a powerful statistical technique for estimating causal impact from observational data, using a real case study from my work at Bukalapak.</p> <p>We walk through the full pipeline: from identifying the problem with naive before-after comparisons, validating assumptions like parallel trends, to implementing DiD with Python regression models and even conducting a placebo test. I also showcase a custom DiD Python library that makes the process seamless and reproducible.</p> <p><a href="https://medium.com/bukalapak-data/difference-in-differences-8c925e691fff" target="_blank" rel="noopener">Read the full article on Medium</a> and discover how we turn business questions into causal answers.</p> <h3 id="did-you-find-this-page-helpful-consider-sharing-it-">Did you find this page helpful? Consider sharing it 🙌</h3>