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st: RE: New versions of/extensions to ivreg2, xtivreg2, ranktest, xtoverid, ivreg29
From |
"Schaffer, Mark E" <[email protected]> |
To |
<[email protected]> |
Subject |
st: RE: New versions of/extensions to ivreg2, xtivreg2, ranktest, xtoverid, ivreg29 |
Date |
Sun, 7 Feb 2010 18:20:30 -0000 |
Hi all. Just want to correct a typo in the announcement about the
features in ivreg2 et al. The examples of 2-way clustering should read:
ivreg2 y x1 x2, cluster(id year)
ivreg2 y (x = z1 z2), gmm2s cluster(id year)
Cheers,
Mark
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On Behalf Of
> Schaffer, Mark E
> Sent: 06 February 2010 11:17
> To: [email protected]
> Subject: st: New versions of/extensions to ivreg2, xtivreg2,
> ranktest, xtoverid, ivreg29
>
> Dear Statalisters:
>
> New versions of and extensions to the Baum-Schaffer-Stillman
> packages ivreg2, xtivreg2, ranktest and xtoverid, and a new
> program, ivreg29, are now available from ssc.
>
> The main extensions and upgrades are:
>
> 1. 2-way clustering.
>
> 2-way clustering, introduced by Cameron, Gelbach and Miller
> (2006) and Thompson (2009), is now supported. 2-way clustering, e.g.,
>
> ivreg2 y x1 x2, cluster(id year)
>
> or
> ivreg2 y (x = z1 z2), gmm2s (cluster id year)
>
> allows for arbitrary within-cluster correlation in two
> cluster dimensions. In the examples above, standard errors
> and statistics are robust to disturbances that are
> autocorrelated (correlated within panels, clustering on id)
> and common (correlated across panels, clustering on year).
> In the second example, estimates also are efficient in the
> presence of arbitrary within-panel and within-year
> clustering. As with 1-way clustering, the numbers of
> clusters in both dimensions should be large.
>
> 2. Angrist-Pischke first-stage F statistics
>
> ivreg2 and xtivreg2 now provide Angrist-Pischke first-stage F
> statistics. Angrist and Pischke (2009, pp. 217-18)
> introduced first-stage F statistics for tests of under- and
> weak identification when there is more than one endogenous
> regressor. In contrast to the Cragg-Donald and
> Kleibergen-Paap statistics, which test the identification of
> the equation as a whole, the AP first-stage F statistics are
> tests of whether one of the endogenous regressors is
> under- or weakly identified.
>
> 3. SEs that are robust to autocorrelated across-panel disturbances
>
> Following Thompson (2009), cluster-robust and kernel-robust
> SEs can be combined and applied to panel data to produce SEs
> that are robust to arbitary common autocorrelated
> disturbances. This can also be combined with 2-way
> clustering to provide SEs and statistics that are robust to
> autocorrelated within-panel disturbances (clustering on panel
> id) and to autocorrelated across-panel disturbances
> (clustering on time combined with kernel-based HAC).
>
> 4. ivreg2 has been Mata-ized
>
> ... and is noticably faster, in particular with time series
> and the CUE
> (continuously-updated) GMM estimator.
>
> 5. ivreg29 for users who don't yet have Stata 10 or 11
>
> ivreg2 requires Stata 10 or later. For those who have only
> Stata 9, we have provided a new program, ivreg29. ivreg29 is
> basically the previous version of ivreg2 plus support for AP
> F-statistics and some minor bug fixes. ivreg29 does not
> support the other features described above.
>
> For full details and examples, see the new help files
> accompanying the programs.
>
> --Kit, Mark and Steve
>
>
> References
>
> Angrist, J.D. and Pischke, J.-S. 2009. Mostly Harmless
> Econometrics: An Empiricist's Companion. Princeton:
> Princeton University Press.
>
> Cameron, A.C., Gelbach, J.B. and Miller, D.L. 2006. Robust
> Inference with Multi-Way Clustering. NBER Technical Working
> paper 327.
> http://www.nber.org/papers/t0327.
>
> Thompson, S.B. 2009. Simple Formulas for Standard Errors
> that Cluster by Both Firm and Time. http://ssrn.com/abstract=914002.
>
>
> Prof. Mark Schaffer FRSE
> Department of Economics
> School of Management & Languages
> Heriot-Watt University, Edinburgh EH14 4AS tel
> +44-131-451-3494 / fax +44-131-451-3296
> http://ideas.repec.org/e/psc51.html
>
>
>
> --
> Heriot-Watt University is a Scottish charity registered under
> charity number SC000278.
>
>
> *
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>
--
Heriot-Watt University is a Scottish charity
registered under charity number SC000278.
*
* 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/