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SBE 2020: Submission Detail

ID Number: 315
Title: CHALLENGES IN ECONOMETRICS
Lead Author: Imbens, Guido W.
Abstract: The biggest challenges faced by economists in terms of analyzing economic data concern fundamentally different configurations of the data, with complex, largely unknown, dependence patterns and a relatively large numbers variables per unit. In such cases the current methods to do approximate inference based on large sample results, which are specifically designed to exploit laws of large numbers and central limit theorems, are likely to be inadequate. Moreover, trying to fit these more complex data configurations into the old methods would be unlikely to lead to much progress.
PDF: Imbens_Guido_315.pdf

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