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The Stata Journal
Volume 18 Number 3: pp. 585-617



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Estimating dynamic common-correlated effects in Stata

Jan Ditzen
Centre for Energy Economics Research and Policy
and
Spatial Economics and Econometrics Centre
Heriot-Watt University
Edinburgh, UK
j.ditzen@hw.ac.uk
Abstract.  In this article, I introduce a new command, xtdcce2, that fits a dynamic common-correlated effects model with heterogeneous coefficients in a panel with a large number of observations over cross-sectional units and time periods. The estimation procedure mainly follows Chudik and Pesaran (2015b, Journal of Econometrics 188: 393–420) but additionally supports the common correlated effects estimator (Pesaran, 2006, Econometrica 74: 967–1012), the mean group estimator (Pesaran and Smith, 1995, Journal of Econometrics 68: 79–113), and the pooled mean group estimator (Pesaran, Shin, and Smith, 1999, Journal of the American Statistical Association, 94: 621–634). xtdcce2 allows heterogeneous or homogeneous coefficients and supports instrumental-variable regressions and unbalanced panels. The cross-sectional dependence test is automatically calculated and presented in the estimation output. Small-sample time-series bias can be corrected by "half-panel" jackknife correction or recursive mean adjustment. I carry out a simulation to prove the estimator's consistency.
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View all articles by this author: Jan Ditzen

View all articles with these keywords: xtdcce2, xtcd2, parameter heterogeneity, dynamic panels, cross-section dependence, common correlated effects, pooled mean group estimator, mean group estimator, instrumental variables, ivreg2

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