Response surface models for the Leybourne unit root tests and lag order dependence Academic Article


  • Computational Statistics


  • This paper calculates response surface models for a large range of quantiles of the Leybourne (Oxf Bull Econ Stat 57:559-571, 1995) test for the null hypothesis of a unit root against the alternative of (trend) stationarity. The response surface models allow the estimation of critical values for different combinations of number of observations, T, and lag order in the test regressions, p, where the latter can be either specified by the user or optimally selected using a data-dependent procedure. The results indicate that the critical values depend on the method used to select the number of lags. An Excel spreadsheet is available to calculate the p-value associated with a test statistic. © 2011 Springer-Verlag.

publication date

  • 2012/9/1


  • Alternatives
  • Calculate
  • Critical value
  • Dependent Data
  • Excel
  • Lag
  • Model
  • Null hypothesis
  • Observation
  • P value
  • Quantile
  • Range of data
  • Regression
  • Response Surface
  • Response surface
  • Spreadsheet
  • Spreadsheets
  • Stationarity
  • Statistics
  • Test Statistic
  • Test statistic
  • Trend stationarity
  • Trends
  • Unit Root
  • Unit Root Tests
  • Unit root
  • Unit root tests
  • p-Value

International Standard Serial Number (ISSN)

  • 0943-4062

number of pages

  • 14

start page

  • 473

end page

  • 486