This paper examines GMM and ML estimation of econometric models and the theory of Hausman tests with sampling weights. Weighted conditional GMM can be more e$cient than weighted conditional MLE, an ine$cient alternative to full information MLE under choice-based sampling, unless regressions have homoscedastic additive disturbances or sampling weights are independent of exogenous variables. GMM ...

in a general classification, the economy of any country is divided into two parts of official and invisible economies. invisible activities drop outside the scope of the law and official economy and strongly affect socioeconomic development and the formal sector of all countries.these activities which are known under various titles including the shadow economy are influenced by various factors....

This study investigated the linkages between foreign direct investment (FDI) and financial development measured by banks stock markets in 30 Asian developing countries from 1986 to 2019. We used a bivariate model with Granger causality tests test reverse FDI multivariate models system generalized method of moments (GMM) estimator identify how one factor affected other. Our results showed bidire...

abstract t he relationship between public sector deficits and inflation is one of the important and controversial issues in the academic literature as well as in economic policy field. on the other hand, a major objective of macroeconomic policies is to foster economic growth and to keep inflation on a low level. so keeping the price stability plays an important role in determining the growth r...

We propose a model to study the role of industry-level external economies scale in open economies. If elasticity governing strength is below inverse trade each industry, then specialization under frictionless consistent with comparative advantage, tractable even frictions, and all countries gain from trade. External lower gains except if country specializes industries high economies, they ampli...

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We us...

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We us...

This paper extends the transformed maximum likelihood approach for estimation of dynamic panel data models by Hsiao, Pesaran, and Tahmiscioglu (2002) to the case where the errors are crosssectionally heteroskedastic. This extension is not trivial due to the incidental parameters problem that arises, and its implications for estimation and inference. We approach the problem by working with a mis...

Gaussian mixture models (GMM), trained using the generative criterion of maximum likelihood estimation, have been the most popular approach in speaker recognition during the last decades. This approach is also widely used in many other classification tasks and applications. Generative learning in not however the optimal way to address classification problems. In this paper we first present a ne...

This paper considers generalized method of moments (GMM) and sequential GMM (SGMM) estimation dynamic short panel data models. The efficient motivated from the quasi maximum likelihood (QML) can avoid use many instrument variables (IV) for estimation. It be asymptotically as estimators (MLE) when disturbances are normal, more than QML not normal. SGMM, which also incorporates IVs, generalizes m...