Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down at the end of May, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Muhammad Anees <anees@aneconomist.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Granger causality test in Stata10 |

Date |
Sat, 6 Aug 2011 10:55:45 +0500 |

For example you want to include lags into the system, your command should appear vec yvar d.xvar1 l.d.xvar l2.d.xvar d.xvar2 l.d.xvar2 l2.d.xvar and so on test granger causality using test (d.xvar1=0) (l.d.xvar=0) (l2.d.xvar=0) and so on for other set of xvars. On Fri, Aug 5, 2011 at 3:21 PM, Merijn Groenenboom <m.groenenboom@students.uu.nl> wrote: > Thanks for the help Muhammad! > > Only one more question about the command with the lags: > > Lets say my y variable= d.lstp and my x variables are d.lexr and d.lgold. > I use a lag of 3 for both variables. > What should I type in Stata? > vec d.lstp d.lexr....... > How can i include lags in the middle of the regression? What command > should i use? > > Thanks in advance for the help! > > 2011/8/5 Muhammad Anees <anees@aneconomist.com>: >> Granger causality is tested using F or Modiffied Wald Chi2 >> statistitic. You can try the -test- command on the respective >> variables after your regression command. >> >> vec yvar xvar1with lags xvar2withlags xvar3withlags >> test xvar1withlags >> >> will give you the causality statistic for xvar1 and its included lag. >> This way you have to keep mind the routine of hypothesis for Granger >> causality >> >> Hope It explains the answer >> >> Anees >> >> On Thu, Aug 4, 2011 at 1:07 PM, Merijn Groenenboom >> <m.groenenboom@students.uu.nl> wrote: >>> Dear Statalisters, >>> >>> I am writing a research about the effect of economic indicators on stock prices. >>> Granger causality test is one of the tests I want to use. >>> I started with the following command in Stata10: >>> >>> quietly var d.lstp d.lexr d.lsint d.lip d.lur d.lyie d.lm1 d.loil d.lcon >>> d.lgold d.ltb d.linf, lags(1/2) >>> vargranger >>> >>> However the results showed spurious results, since all variables are >>> only stationary at first differences and cointegration exists >>> I should use a vec model instead of a var model. >>> So I used the following command: >>> vec d.lstp d.lexr d.lsint d.lip d.lur d.lyie d.lm1 d.loil d.lcon >>> d.lgold d.ltb d.linf, lags(1/2) >>> >>> However I am not sure about the next step. How does Stata show me the >>> results of granger causality test now? >>> Or did I already make a mistake before? >>> >>> Thank you. >>> >>> Merijn G >>> * >>> * For searches and help try: >>> * http://www.stata.com/help.cgi?search >>> * http://www.stata.com/support/statalist/faq >>> * http://www.ats.ucla.edu/stat/stata/ >>> >> >> * >> * For searches and help try: >> * http://www.stata.com/help.cgi?search >> * http://www.stata.com/support/statalist/faq >> * http://www.ats.ucla.edu/stat/stata/ >> > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > -- Regards Anees * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Granger causality test in Stata10***From:*Merijn Groenenboom <m.groenenboom@students.uu.nl>

**References**:**st: Granger causality test in Stata10***From:*Merijn Groenenboom <m.groenenboom@students.uu.nl>

**Re: st: Granger causality test in Stata10***From:*Muhammad Anees <anees@aneconomist.com>

**Re: st: Granger causality test in Stata10***From:*Merijn Groenenboom <m.groenenboom@students.uu.nl>

- Prev by Date:
**Re: st: Granger causality test for VECM** - Next by Date:
**Re: st: How to drop observations in panel** - Previous by thread:
**Re: st: Granger causality test in Stata10** - Next by thread:
**Re: st: Granger causality test in Stata10** - Index(es):