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Periodic Properties of Interpolated Time Series

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Author Info
Hashem Dezhbakhsh (Emory University)
Daniel Levy (Bar-Ilan University)

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Abstract

Although linearly interpolated series are often used in economics, little has been done to examine the effects of interpolation on time series properties and on statistical inference. We show that linear interpolation of a trend tationary series superimposes a ‘periodic’ structure on the moments of the series. Using conventional time series methods to make inference about the interpolated series may therefore be invalid. Also, the interpolated series may exhibit more shock persistence than the original trend stationary series.

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Paper provided by EconWPA in its series Econometrics with number 0505004.

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Length: 12 pages
Date of creation: 15 May 2005
Date of revision:
Handle: RePEc:wpa:wuwpem:0505004

Note: Type of Document - pdf; pages: 12
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Web page: http://129.3.20.41

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Related research
Keywords: Linear Interpolation; Trend-Stationary Series; Shock Persistence; Periodic Properties of Time Series;

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Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation

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References listed on IDEAS
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    Other versions:
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  6. repec:fth:harver:1418 is not listed on IDEAS
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  10. Lawrence J. Christiano & Martin Eichenbaum, 1989. "Unit Roots in Real GNP: Do We Know, and Do We Care?," NBER Working Papers 3130, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  11. Robert B. Barsky & Jeffrey A. Miron, 1989. "The Seasonal Cycle and the Business Cycle," NBER Working Papers 2688, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  12. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October. [Downloadable!] (restricted)
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Matthew J. Higgins & Daniel Levy & Andrew T. Young, 2005. "Growth and Convergence across the U.S.: Evidence from County-Level Data," Emory Economics 0529, Department of Economics, Emory University (Atlanta). [Downloadable!]
    Other versions:
  2. Michael Ehrmann, 2000. "Comparing monetary policy transmission across European countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer, vol. 136(1), pages 58-83, March. [Downloadable!] (restricted)
  3. Young, Andrew & Higgins, Matthew & Levy, Daniel, 2006. "Heterogeneous Convergence," MPRA Paper 954, University Library of Munich, Germany. [Downloadable!]
    Other versions:
  4. Daniel Levy & Haiwei Chen, 2005. "Estimates of the Aggregate Quarterly Capital Stock for the Post- War U.S. Economy," Others 0505008, EconWPA, revised 16 May 2005. [Downloadable!]
    Other versions:
  5. Daniel Levy, 2005. "Investment-Saving Comovement and Capital Mobility: Evidence from Century Long U.S. Time Series," International Finance 0505006, EconWPA, revised 16 May 2005. [Downloadable!]
    Other versions:
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