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Extracting Information from Mega-Panels and High-Frequency Data

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  • Granger, Clive W.J.

Abstract

Very large data sets in economics are already available and will soon become commonplace. The econometric techniques currently in use may not be relevant and new techniques will have to be devised. It can be argued that most tests of significance, linear models, assumptions of normality, and procedures to reduce bias, for example, will be replaced. The usefulness of asymptotic theory is discussed. It is suggested that methods for extracting conditional distributions will be becomes especially useful and a few particular possible techniques are suggested.

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Bibliographic Info

Paper provided by Department of Economics, UC San Diego in its series University of California at San Diego, Economics Working Paper Series with number qt17t2d9n6.

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Date of creation: 01 Jan 1998
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Handle: RePEc:cdl:ucsdec:qt17t2d9n6

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Keywords: high-frequency data; mega-panels;

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Cited by:
  1. Christian T. Brownlees & Giampiero Gallo, 2008. "Comparison of Volatility Measures: a Risk Management Perspective," Econometrics Working Papers Archive wp2008_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
  2. Galema, Rients & Lensink, Robert & Spierdijk, Laura, 2011. "International diversification and Microfinance," Journal of International Money and Finance, Elsevier, vol. 30(3), pages 507-515, April.
  3. Jacob Bikker & Laura Spierdijk & Paul Finnie, 2006. "Misspecifiation of the Panzar-Rosse Model: Assessing Competition in the Banking Industry," DNB Working Papers 114, Netherlands Central Bank, Research Department.

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