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Optimal Lag Length in Estimating Dickey-Fuller Statistics: An Empirical Note

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  • Gordon, D.V.

Abstract

The purpose of this note is to empirically demonstrate that the choice of summary statistic used in specifying the Dickey-Fuller test equation can determine the outcome of a test for stationarity. A reasonable empirical practice would be to evaluate stationarity over different lagged specifications of the Dickey-Fuller test equation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Gordon, D.V., 1994. "Optimal Lag Length in Estimating Dickey-Fuller Statistics: An Empirical Note," Papers 9405, Calgary - Department of Economics.
    • Handle: RePEc:fth:calgar:9405
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    Cited by:

    1. Xiaming Liu & Haiyan Song & Peter Romilly, 1997. "An empirical investigation of the causal relationship between openness and economic growth in China," Applied Economics, Taylor & Francis Journals, vol. 29(12), pages 1679-1686.
    2. Petrella, Andrea & Sapio, Alessandro, 2012. "Assessing the impact of forward trading, retail liberalization, and white certificates on the Italian wholesale electricity prices," Energy Policy, Elsevier, vol. 40(C), pages 307-317.
    3. Deb, Prokash & Dey, Madan M. & Surathkal, Prasanna, 2021. "Fish Price Transmission and Market Integration along the Vertical Value Chain in Bangladesh," 2021 Annual Meeting, August 1-3, Austin, Texas 314073, Agricultural and Applied Economics Association.
    4. Agnieszka Tłuczak, 2022. "Convergence of prices on the pig market in selected European Union countries. Case study," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(3), pages 107-115.
    5. Andrea Petrella & Sandro Sapio, 2010. "No PUN intended: A time series analysis of the Italian day-ahead electricity prices," RSCAS Working Papers 2010/03, European University Institute.
    6. Frank Asche & Daniel Gordon & Rognvaldur Hannesson, 2002. "Searching for price parity in the European whitefish market," Applied Economics, Taylor & Francis Journals, vol. 34(8), pages 1017-1024.

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    Keywords

    econometrics ; evaluation;

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