Artikel

Interpolation and shock persistence of prewar U.S. macroeconomic time series: A reconsideration

The U.S. prewar output series exhibit smaller shock-persistence than postwar-series. Some studies suggest that this may be due to linear interpolation used to generate missing prewar data. Monte Carlo simulations that support this view generate large standard-errors, making such inference imprecise. We assess analytically the effect of linear interpolation on a nonstationary process. We find that interpolation indeed reduces shock-persistence, but the interpolated series can still exhibit greater shock-persistence than a pure random walk. Moreover, linear interpolation makes the series periodically nonstationary, with parameters of the data generating process and the length of the interpolation time-segments affecting shock-persistence in conflicting ways.

Sprache
Englisch

Erschienen in
Journal: Economics Letters ; ISSN: 0165-1765 ; Volume: 213 ; Year: 2022 ; Amsterdam: Elsevier

Klassifikation
Wirtschaft
Econometrics
Mathematical Methods
Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data)
Economic History: Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations: General, International, or Comparative
Thema
Linear Interpolation
Random Walk
Shock Persistence
Nonstationary Time Series
Periodic Nonstationarity
Stationary Time Series
Prewar US Time Series
Prewar vs Postwar Business Cycles

Ereignis
Geistige Schöpfung
(wer)
Dezhbakhsh, Hashem
Levy, Daniel
Ereignis
Veröffentlichung
(wer)
Elsevier
ZBW - Leibniz Information Centre for Economics
(wo)
Amsterdam
(wann)
2022

DOI
doi:10.1016/j.econlet.2022.110386
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Dezhbakhsh, Hashem
  • Levy, Daniel
  • Elsevier
  • ZBW - Leibniz Information Centre for Economics

Entstanden

  • 2022

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