The Cobb–Douglas production function is a staple of economics education, yet students rarely learn about its origins or empirical roots. While undergraduate courses typically focus on its analytical properties, it is important to highlight that Cobb and Douglas’s key contribution was empirical: They estimated the function’s parameters using data. As many economics programs increasingly emphasize empirical modeling in response to the data analytics boom, connecting theory with data is more important than ever. This resource supports instructors of Intermediate Microeconomics and Macroeconomics in contextualizing the Cobb–Douglas function—its historical development, theoretical features, and empirical estimation. We briefly explore why economists were interested in such a function more than a century ago, clarify the contributions of Cobb and Douglas (and others), and illustrate how they estimated the parameters with their data. To help bring this history into the classroom, we provide annotated R code that enables faculty and students to access Cobb and Douglas’s original data through R or RStudio Cloud. The code includes tools for estimating the function’s coefficients, generating visualizations, and conducting specification and robustness checks. By integrating historical insight with modern data tools, this resource helps bridge the gap between economic theory and empirical practice.

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