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The behaviour of the first-difference generalized method of moments (FD-GMM) estimator for dynamic panel data models when the persistency of the data is (moderately) strong and the initial conditions are unrestricted is investigated. It is shown that both the initial conditions and the degree of persistency affect the rate of convergence of the GMM estimator when the autoregressive parameter is modelled...
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