What Now? Some Brief Reflections on Model-Free Data Analysis

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International Econometric Review
Volume:1 Issue:1
What Now? Some Brief Reflections on Model-Free Data Analysis

What Now? Some Brief Reflections on Model-Free Data Analysis

Authors : Richard BERK

Pages : 18-27

View : 14 | Download : 11

Publication Date : 2009-04-01

Article Type : Research Paper

Abstract :David Freedman`s critique of causal modeling in the social and biomedical sciences was fundamental. In his view, the enterprise was misguided, and there was no technical fix. Far too often, there was a disconnect between what the statistical methods required and the substantive information that could be brought to bear. In this paper, I briefly consider some alternatives to causal modeling assuming that David Freedman`s perspective on modeling is correct. In addition to randomized experiments and strong quasi experiments, I discuss multivariate statistical analysis, exploratory data analysis, dynamic graphics, machine learning and knowledge discovery.
Keywords : Causal Modeling, Regression Analysis, Exploratory Data Analysis, Data Science

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