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New methods revolutionize regression estimation, paving the way for accurate predictions.
The article discusses new ways to estimate a group of regression equations without needing specific assumptions about the data. Different methods are suggested for estimating these equations, including models that involve both parametric and non-parametric elements. The researchers explore models like those with non-parametric errors, varying coefficients, and endogeneity.
