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INTRODUCTION TO “SPECIAL ISSUE ON THE EMPIRICAL ANALYSIS OF BUSINESS CYCLES, FINANCIAL MARKETS, AND INFLATION: ESSAYS IN HONOR OF CHARLES NELSON”

Published online by Cambridge University Press:  16 December 2013

Chang-Jin Kim ,
James Morley  and
Jeremy Piger
Chang-Jin Kim
Affiliation:
University of Washington and Korea University
James Morley*
Affiliation:
University of New South Wales
Jeremy Piger
Affiliation:
University of Oregon
*
Address correspondence to: James Morley, School of Economics, Australian School of Business, University of New South Wales, Sydney, NSW 2052, Australia; e-mail: [email protected].
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Abstract

Time series analysis of macroeconomic and financial variables requires a deep understanding of many econometric pitfalls if an empirical researcher hopes to avoid making spurious inferences. This understanding is the hallmark of Charles Nelson's research over four decades and it develops out of a healthy skepticism about “conventional wisdom,” yet a pragmatic belief that, despite the econometric hurdles, it is possible to learn from data. The papers in this special issue build on Charles Nelson's research legacy to address many important empirical questions related to business cycles, financial markets, and inflation, always with respect for the data, but wary of spurious inferences.

Keywords

Applied Time Series AnalysisBusiness CyclesFinancial MarketsInflation
Type
Introduction
Information
Macroeconomic Dynamics , Volume 19 , Special Issue 4: Empirical Analysis of Business Cycles, Financial Markets, and Inflation: Essays in Honor of Charles Nelson , June 2015 , pp. 723 - 727
Copyright
Copyright © Cambridge University Press 2013 

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References

REFERENCES

Beveridge, S. and Nelson, C.R. (1981) A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the business cycle. Journal of Monetary Economics 7, 151–174.CrossRefGoogle Scholar
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Kim, C.-J., Manopimoke, P., and Nelson, C.R. (in press) Trend inflation and the nature of structural breaks in the New Keynesian Phillips Curve. Journal of Money, Credit and Banking.Google Scholar
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