Extracting Information from Mega-Panels and High-Frequency Data

University of California at San Diego, Department of Economics, Discussion Paper No. 98-01

Posted: 14 Aug 1998

See all articles by Clive W. J. Granger

Clive W. J. Granger

University of California, San Diego (UCSD) - Department of Economics; Tinbergen Institute

Date Written: January 1998

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.

JEL Classification: C10

Suggested Citation

Granger, Clive W. J., Extracting Information from Mega-Panels and High-Frequency Data (January 1998). University of California at San Diego, Department of Economics, Discussion Paper No. 98-01, Available at SSRN: https://ssrn.com/abstract=105988

Clive W. J. Granger (Contact Author)

University of California, San Diego (UCSD) - Department of Economics ( email )

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Tinbergen Institute ( email )

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