Economic & Causal Analysis

Causality isn't just a buzzword

We all know "correlation does not imply causation," but most business dashboards are built entirely around correlation. When an onboarding metric goes up and retention follows, leaders often mistakenly assume the onboarding change caused the retention—leading to massive misallocation of resources.

My background in applied economics allows me to step in when you can't run a randomized A/B test. I use advanced observational techniques to strip away confounding variables, uncover true heterogeneous treatment effects, and model complex market dynamics like price elasticity and cannibalization.

Economic Capabilities

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  Quasi-Experiments: Leveraging Difference-in-Differences (DiD), Synthetic Control, and Regression Discontinuity when holdout groups aren't possible.
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  Pricing Strategy & Elasticity: Calculating precise willingness-to-pay curves to optimize SaaS pricing tiers and maximize Annual Recurring Revenue (ARR).
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  Market Dynamics: Modeling cannibalization, network effects, and two-sided marketplace balances (supply vs. demand liquidity).
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  Instrumental Variables (IV): Addressing severe omitted variable bias in observational datasets to extract clean causal signals.