IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s419704.html
 

IPSHIN: Stata module to perform Im-Pesaran-Shin panel unit root test

Author

Listed:
  • Fabian Bornhorst

    (European University Institute)

  • Christopher F Baum

    (Boston College)

Programming Language

Stata

Abstract

ipshin estimates the t-test for unit roots in heterogeneous panels developed by Im, Pesaran and Shin (IPS, 1997). It allows for individual effects, time trends, and common time effects. Based on the mean of the individual Dickey-Fuller t-statistics of each unit in the panel, the IPS test assumes that all series are non-stationary under the null hypothesis. Lags of the dependent variable may be introduced to allow for serial correlation in the errors. The exact critical values of the t-bar statistic are given in IPS. After transformation by factors provided in the paper (available for no more than 8 lags on any series), the Psi[t-bar] statistic is distributed standard normal under the null hypothesis of nonstationarity. Users of Stata 11+ should use the official xtunitroot ips command.

Suggested Citation

  • Fabian Bornhorst & Christopher F Baum, 2001. "IPSHIN: Stata module to perform Im-Pesaran-Shin panel unit root test," Statistical Software Components S419704, Boston College Department of Economics, revised 11 Jun 2007.
  • Handle: RePEc:boc:bocode:s419704
    Note: This module may be installed from within Stata by typing "ssc install ipshin". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/i/ipshin.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/i/ipshin.hlp
    File Function: help file
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Entorf, Horst & Spengler, Hannes, 2008. "Is Being 'Soft on Crime' the Solution to Rising Crime Rates? Evidence from Germany," IZA Discussion Papers 3710, Institute of Labor Economics (IZA).
    2. Andrea Vaona & Guido Ascari, 2012. "Regional Inflation Persistence: Evidence from Italy," Regional Studies, Taylor & Francis Journals, vol. 46(4), pages 509-523, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s419704. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/debocus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/debocus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.