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This lecture introduces the Box-Cox transform, a method to investigate nonlinear specifications in models by transforming variables using a parameter lambda. The transform allows for both logarithmic and power law transformations, with lambda defining the shape of the transformation. The lecture explains the continuous nature of the transformation and how lambda estimation from data impacts the shape of the nonlinear function.