For the estimation of the parameters involved in a linear dynamic mixed model for panel data, it has been shown recently by Rao, Sutradhar, and Pandit (2012, Brazilian J. of Probability and Statistics, Vol. 26, 167–177) that the so-called generalized quasi-likelihood (GQL) approach produces more efficient regression estimates as compared to the generalized method of moments (GMM) approach. Thes...

The primary concern of this examination is to systematically survey the importance inclusive access finance on growth in terms economy 48 sub-Saharan African (SSA) sovereign states with periodicity from 1995 2017. This study reports results using both static and dynamic estimation techniques. For consistency, baseline finding based Generalized Method Moments (GMM) system GMM. article finds that...

This paper studies the application of generalized method moments (GMM) to multi-reference alignment (MRA): problem estimating a signal from its circularly-translated and noisy copies. We begin by proving that GMM estimator maintains asymptotic optimality for statistical models with group symmetry, including MRA. Then, we conduct comprehensive numerical study show substantially outperforms class...

 Based on the recent literature of heterogeneous firms, productive firms self select themselves into foreign markets. In this framework, there is a productivity rise prior to exporting. On the other words, different export performance across firms is linked to their heterogeneity.   The main purpose of the present paper is to examine the so-called hypothesis of heterogeneous firm in Iran. For ...

Institutions affect the process of economic growth through their many indicators. The authors have checked the relationship between institutions and economic growth in selected countries of South Asia by using data from 1995 to 2010. The results of ‘Fixed Effects Estimation’ and ‘Generalize Method of Moments’ confirmed the significant positive relationship between institutions and economic grow...

This paper considers classical hypothesis testing in the maximum likelihood (ML) and generalized method of moments (GMM) frameworks, where components of unconstrained (and constrained) estimates of a model may have various rates of convergence and their limiting distributions are asymptotically normally distributed. Sufficient conditions are established under which the likelihood ratio, efficie...

This paper explains why Godambe-Durbin \estimating functions" (EFs) from 1960 are worthy of attention in econometrics. Godambe and Kale (1991) show the failures of Gauss-Markov and least squares and prove the small-sample superiority of EFs. There are many areas of Econometrics including unit root estimation, generalized method of moments (GMM), panel data models, etc., which can use some simpl...

In this paper we derive a test statistic generating equation (TSGE) from which several statistics suitable for testing parametric restrictions in models estimated by the generalized method of moments (GMM) may be obtained. This statistic presents three main features: it is valid for producing statistics appropriate for testing constraints expressed in very general forms, which may involve not o...