Showing 81 - 90 of 91
This paper examines analytically and experimentally why the system GMM estimator in dynamic panel data models is less biased than the first differencing or the level estimators even though the former uses more instruments. We find that the bias of the system GMM estimator is a weighted sum of...
Persistent link: https://www.econbiz.de/10005489446
In this note, we derive the finite sample bias of the modified ordinary least squares (MOLS) estimator, which was suggested by Wansbeek and Knaap (1999) and reconsidered by Hayakawa (2006a,b). From the formula for the finite sample bias, we find that the bias of the MOLS estimator becomes small...
Persistent link: https://www.econbiz.de/10005416935
In this paper, we analytically investigate three efficient estimators for cointegrating regression models: Phillips and Hansen's (1990) fully modified OLS estimator, Park's (1992) canonical cointegrating regression estimator, and Saikkonen's (1991) dynamic OLS estimator. First, by the Monte...
Persistent link: https://www.econbiz.de/10005650647
In this paper, we show that for panel AR(p) models with iid errors, an instrumental variable (IV) estimator with instruments in the backward orthogonal deviation has the same asymptotic distribution as the infeasible optimal IV estimator when both N and T, the dimensions of the cross section and...
Persistent link: https://www.econbiz.de/10005650686
This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive fixed effects, and provides an extension of Hsiao et al. (2002) that allows for a multifactor error structure. This is an important extension since it retains the advantages of...
Persistent link: https://www.econbiz.de/10010790542
This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive fixed effects, and provides an extension of Hsiao et al. (2002) that allows for a multifactor error structure. This is an important extension since it retains the advantages of...
Persistent link: https://www.econbiz.de/10010779414
In this paper, we introduce new type of within groups transformations so called the double within groups (DWG) and the long within groups (LWG) transformations. Both transformations eliminate individual effects and heterogeneous deterministic time trends jointly. Asymptotic analysis shows that...
Persistent link: https://www.econbiz.de/10008582809
In this paper, we show that the order of magnitude of the finite sample bias of the estimator of Bun and Kiviet (2006) reduces from O(T/N) to O(1/N) if the original level model is transformed by the upper triangular Cholesky factorization of the inverse of the pseudo variance matrix of error...
Persistent link: https://www.econbiz.de/10008866533
In this paper, we consider the role of “leads” of the first difference of integrated variables in the dynamic OLS estimation of cointegrating regression models. Specifically, we investigate Stock and Watson’s [J.H. Stock, M.W. Watson’s, A simple estimator of cointegrating vectors in...
Persistent link: https://www.econbiz.de/10011050846
This paper compares the performances of the generalized method of moments (GMM) estimator of dynamic panel data model wherein unobserved individual effects are removed by the forward orthogonal deviation or the first difference. The simulation results show that the GMM estimator of the model...
Persistent link: https://www.econbiz.de/10008563121