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Response surface models for the Elliott, Rothenberg, Stock DF-GLS unit root test

Author

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  • Christopher F Baum

    (Boston College
    DIW Berlin)

  • Jesús Otero

    (Universidad del Rosario)

Abstract

We present response surface coefficients for a large range of quantiles of the Elliott, Rothenberg and Stock (Econometrica, 1996) DF-GLS unit root tests, for different combinations of the number of observations and the lag order in the test regressions, where the latter can be either specified by the user or endogenously determined. The critical values depend on the method used to select the number of lags. The Stata command ersur is presented, and its use illustrated with an empirical example that tests the validity of the expectations hypothesis of the term structure of interest rates. The command will be of interest to applied econometricians. More generally, it illustrates how a rather cumbersome lookup table can be handled in the context of a Stata package.

Suggested Citation

  • Christopher F Baum & Jesús Otero, 2017. "Response surface models for the Elliott, Rothenberg, Stock DF-GLS unit root test," United Kingdom Stata Users' Group Meetings 2017 10, Stata Users Group.
    • Handle: RePEc:boc:usug17:10
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    Cited by:

    1. Jelilov Gylych & Abdullahi Ahmad Jbrin & Bilal Celik & Abdurrahman Isik, 2020. "The Effect of Oil Price Fluctuation on the Economy of Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 461-468.
    2. Eltejaei , Ebrahim & Montazeri Shoorekchali , Jalal, 2021. "Investigating the Relationship between Money Growth and Inflation in Turkey: A Nonlinear Causality Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(3), pages 305-322, September.
    3. Sebastian Kripfganz & Daniel C. Schneider, 2020. "Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1456-1481, December.
    4. António Afonso & Valérie Mignon & Jamel Saadaoui, 2023. "On the time-varying impact of China’s bilateral political relations on its trading partners (1960–2022)," Working Papers of BETA 2023-41, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    5. İbrahim Özmen & Şerife Özşahin, 2023. "Effects of global energy and price fluctuations on Turkey's inflation: new evidence," Economic Change and Restructuring, Springer, vol. 56(4), pages 2695-2728, August.
    6. Emilian DOBRESCU, 2022. "Macroeconomic Measurement of Expectations versus Reality," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-30, October.
    7. Peter S. Sephton, 2022. "Finite Sample Lag Adjusted Critical Values of the ADF-GLS Test," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 177-183, January.

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