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Some Thoughts on Econometric Information Recovery

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  • Judge, George G.

Abstract

This paper is concerned with the problem of information recovery and measuring evidence that involves uncontrolled indirect noisy effects data and stochastic ill posed inverse problems in economics-econometrics. Information theoretic methods based on a multi parametric family of power divergence measures are suggested as an estimation and inference framework for dealing with these problems, analyzing questions of a causal nature and learning about hidden dynamic economic processes and systems that may or may not be in equilibrium. The paper concludes with some comments on the implications for information recovery of continuing to use traditional economic-econometric models and methods.

Suggested Citation

  • Judge, George G., 2013. "Some Thoughts on Econometric Information Recovery," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt5h048626, Department of Agricultural & Resource Economics, UC Berkeley.
    • Handle: RePEc:cdl:agrebk:qt5h048626
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    References listed on IDEAS

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    1. Ricardo J. Caballero, 2010. "Macroeconomics after the Crisis: Time to Deal with the Pretense-of-Knowledge Syndrome," Journal of Economic Perspectives, American Economic Association, vol. 24(4), pages 85-102, Fall.
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