Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/154271
Authors: 
Schwarz, Claudia
Kripfganz, Sebastian
Year of Publication: 
2015
Series/Report no.: 
ECB Working Paper 1838
Abstract: 
We propose a two-stage estimation procedure to identify the effects of time-invariant regressors in a dynamic version of the Hausman-Taylor model. We first estimate the coefficients of the time-varying regressors and subsequently regress the first-stage residuals on the time-invariant regressors providing analytical standard error adjustments for the second-stage coefficients. The two-stage approach is more robust against misspecification than GMM estimators that obtain all parameter estimates simultaneously. In addition, it allows exploiting advantages of estimators relying on transformations to eliminate the unit-specific heterogeneity. We analytically demonstrate under which conditions the one-stage and two-stage GMM estimators are equivalent. Monte Carlo results highlight the advantages of the two-stage approach infinite samples. Finally, the approach is illustrated with the estimation of a dynamic gravity equation for U.S. outward foreign direct investment.
Subjects: 
Dynamic gravity equation
Dynamic panel data
System GMM
Time-invariant variables
Two-stage estimation
JEL: 
C13
C23
F23
ISBN: 
978-92-899-1651-6
Document Type: 
Working Paper

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