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KPSS: Stata module to compute Kwiatkowski-Phillips-Schmidt-Shin test for stationarity

Author

Listed:
  • Christopher F Baum

    () (Boston College)

Abstract

kpss performs the Kwiatkowski, Phillips, Schmidt, Shin (KPSS, 1992) test for stationarity of a time series. This test differs from those in common use (such as dfuller and pperron) by having a null hypothesis of stationarity. The test may be conducted under the null of either trend stationarity (the default) or level stationarity. Inference from this test is complementary to that derived from those based on the Dickey-Fuller distribution. The KPSS test is often used in conjunction with those tests to investigate the possibility that a series is fractionally integrated (that is, neither I(1) nor I(0)). This is version 1.2.2 of the software, updated from that published in STB-58, and compatible with Stata version 8 syntax. It may be applied to a single timeseries in a panel with the if qualifier or to all timeseries with the by prefix.

Suggested Citation

  • Christopher F Baum, 2000. "KPSS: Stata module to compute Kwiatkowski-Phillips-Schmidt-Shin test for stationarity," Statistical Software Components S410401, Boston College Department of Economics, revised 13 May 2018.
  • Handle: RePEc:boc:bocode:s410401
    Note: This module may be installed from within Stata by typing "ssc install kpss". Windows users should not attempt to download these files with a web browser.
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    File URL: http://fmwww.bc.edu/repec/bocode/k/kpss.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/k/kpss.hlp
    File Function: help file
    Download Restriction: no

    Citations

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    Cited by:

    1. de Mello Luiz & Moccero Diego & Mogliani Matteo, 2013. "Do Latin American Central Bankers Behave Non-Linearly? The Experiences of Brazil, Chile, Colombia and Mexico," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 141-165, April.
    2. María Cuenca Coral, Felipe Amaya, Bryan Castrillón, 2015. "La política monetaria y el crecimiento económico en Colombia, 1990-2010," REVISTA CIFE, UNIVERSIDAD SANTO TOMÁS, February.
    3. Carlos Fernando Daza Moreno & Jorge Mario Uribe, 2016. "Efectos de los cambios de la tasa de interés de Estados Unidos sobre Colombia, Perú y Chile," REVISTA DE ECONOMÍA DEL CARIBE 014794, UNIVERSIDAD DEL NORTE.
    4. Andrés Felipe Londoño & Jorge Andrés Tamayo & Carlos Alberto Velásquez, 2012. "Dinámica de la política monetaria e inflación objetivo en Colombia: una aproximación FAVAR," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, vol. 30(68), pages 14-71, June.
    5. Pavel Vidal & Gilberto Ramírez & Lya Paola Sierra, 2018. "¿Por qué el Valle del Cauca ha crecido más que el promedio nacional? Un análisis regional de los ciclos y los choques económicos," Working Papers 33, Faculty of Economics and Management, Pontificia Universidad Javeriana Cali.
    6. Franz Hamann & Juan Manuel Julio & Paulina Restrepo & Alvaro Jose Riascos Villegas, 2004. "Inflation Targeting In A Small Open Economy: The Colombian Case," BORRADORES DE ECONOMIA 002855, BANCO DE LA REPÚBLICA.
    7. Luiz De Mello & Diego Moccero, 2009. "Monetary Policy and Inflation Expectations in Latin America: Long-Run Effects and Volatility Spillovers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(8), pages 1671-1690, December.
    8. Franz Hamann Salcedo & Juan Manuel Julio & Paulina Restrepo, 2004. "Inflation Targeting in a Samll Open Economy: The Colombian Case," Borradores de Economia 308, Banco de la Republica de Colombia.

    More about this item

    Keywords

    timeseries; unit root; stationarity;

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