STATA Blog: Using the lasso for inference in high-dimensional models

High-dimensional models, which have too many potential covariates for the sample size at hand, are increasingly common in applied research. The lasso, can be used to estimate the coefficients of interest in a high-dimensional model. This post discusses commands in Stata 16 that estimate the coefficients of interest in a high-dimensional model.

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