Published onDecember 6, 2024Hierarchical Modeling for Improving Causal Estimate Robustnesscausal-inferencebayesianpricingeconometricstime-seriesCompare multiple product elasticity estimates obtained from separate individual models vs. a single hierarchical model.
Published onJune 20, 2024Refuting Causal Effect Estimatescausal-inferencepricingeconometricsApply refutation tests based on negative controlled and sensitivity analysis to test the validity and robustness of our causal estimate
Published onMay 15, 2024Using Bayesian Workflow in Estimating Price Elasticitycausal-inferencebayesianpricingeconometricstime-seriesEstimate Price Elasticity by building bayesian linear model with Bayesian Workflow.
Published onApril 18, 2024Estimating Price Elasticity using Double MLcausal-inferencepricingeconometricstime-seriesEstimate Price Elasticity using DoubleML, coding from scratch. Analyse and compare against OLS on accuracy of causal estimate and predictions.
Published onMarch 14, 2024ML Regularization Bias in Estimating Causal Effectscausal-inferencepricingeconometricsReplicate the Double ML framework to examine regularization bias and its impact on causal estimate errors, specifically in measuring price elasticity.