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Estimating Dynamic Common-Correlated Effects in Stata

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Ditzen, Jan·2018·The Stata Journal: Promoting communications on statistics and Stata

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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Metadata

Authors
Ditzen, J.
Venue
The Stata Journal: Promoting communications on statistics and Stata
Published
2018-09
Volume
18
Issue
3
Pages
585-617
ISSN
  • 1536-867X (ISSN-L)
  • 1536-8734
OpenAlex
W2902408404
Cited by
329
References
2
FWCI
25.96
Type
journal article
Language
en
Open access
bronze

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Ditzen, J. (2018). Estimating Dynamic Common-Correlated Effects in Stata. The Stata Journal: Promoting communications on statistics and Stata. https://doi.org/10.1177/1536867x1801800306

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