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In this tutorial, we learn the idea behind the hedonic index through a simple step-by-step approach. If you would like to see an example on how to construct a Hedonic index using large data, please refer to the following video: ► • Example of Hedonic Regression Using Large ... If you would like to replicate the example, you can download the data file here: ⇩ https://bit.ly/2H2KMFL Although the purpose of this tutorial is to understand the idea behind the Hedonic Regression Framework, it also illustrates the concept of dummy variables. Importantly, it shows that the estimated coefficients are equal to averages. If there is no deviation, i.e., the prices are constant over different time periods, the coefficients would be the actual costs. In this case, the R-Squared is 1, and normally, the error term would be equal to 0. The Hedonic Index would show movements only when prices change over time. If you have any questions, please let me know.