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References in periodicals archive ?
ESTIMATION OF FINANCIAL PERFORMANCE EQUATIONS WITH OLS, FIXED EFFECTS, AND SYSTEM GENERALIZED METHOD OF MOMENTS (GMM) VARIABLE PROXY FIXED EFFECTS MODEL (1) Lagged perf ER .197203 (1.727087) ARME -.4285541 (1.513043) AVA 1.534725 (.7613352) GDP -.0295183 (.1389886) CPI -.1607702 (***) (.0657576) Constant 11.96665 (13.38702) Hansen-Sargan test: Wald-[chi square] p-value Arellano-Bond test for autocorrelation: AR(1) p-value AR(2) p-value F- stat.
Federal's traditional GMM uses Sierra's MatchKing bullet, and there were a couple of reasons they chose it.
In all tables, Models 1 and 4 are estimated using OLS and Models 2, 3, 5, and 6 are estimated using the two-step GMM estimator with robust standard errors, which produces consistent estimates of the standard errors and is known to be more efficient than the traditional IV/2SLS estimator (Hayashi 2000).
On the general merchandise side of the business, Scott McCall, senior VP and GMM for health and wellness merchandising, has been moved to leadership of entertainment, toys and seasonal products, while Deanah Baker, senior VP and GMM for ladies' apparel, intimates, jewelry and accessories, has expanded her portfolio to include all of apparel, shoes and accessories.
We employ panel data GMM to cope with the criticism by Henry.
To address endogeneity, we use a series of optimal (two-step) generalized method of moments (GMM) estimators.
Finally, with regards to the econometric modeling framework, we use the GMM. Though this technique is not new, however in Pakistani banking regulation research, it is not vastly used.
(2015) closely follow the seminal framework of Beck and Levine (2004), including application of panel GMM estimations, to analyse the link between economic performance and financial stability in the EU and conclude that financial instability has a negative effect on economic growth.
G(x; [[mu].sub.m], [[SIGMA].sub.m]) is the mth Gaussian function in GMM, where [[mu].sub.m], [[SIGMA].sub.m] are its mean vector and variance matrix, respectively.
In this paper, the GMM automatically estimates the number of components and the component parameters using the Expectation-maximization (EM) algorithm [14] and the minimum message length criterion.
Third, a multivariable GMM is embedded into the proposed MNGS to model the distribution of the sparse features in terms of the coefficient matrix of NMF.
The design was based on the telescopic driving principle of GMM and the flexible hinge amplification mechanism.