In this talk, I present some theoretical and empirical properties of the uniform and biased-bootstrap for generalized method of moments (GMM) models. The version of the biased-bootstrap used in this paper is a form of weighted bootstrap with weights chosen to satisfy some constraints imposed by the model. A typical biased-bootstrap resample is obtained by resampling from a member within a pseud...

Two types of spatial regression models, a spatial lag model (SLM) and a spatial error model (SEM), were applied to fit the height–diameter relationship of trees. SEM had better model fitting and performance than both SLM and ordinary least squares. Moran’s I coefficients showed that SEM effectively reduced the spatial autocorrelation in the model residuals. Both real data and Monte Carlo simula...

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...

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...

This study offers a different empirical approach to examining the e?ects of culture and religion on economic growth using time series data for period 1994-2020. I constructed cultural index through Principle Component Analysis (PCA) technique achieve this goal. employs seven leading indicators from World Values Survey (WVS) European Study (EVS) development, such as control, trust, respect, obed...

Inequality indices (i) evaluate the divergence between the income distribution and the hypothetical situation where all individuals have the mean income and (ii) are unambiguously reduced by a Pigou-Dalton progressive transfer. This paper proposes a new approach to evaluate the divergence between any two income distributions, where the second one can be a reference distribution for the first. I...

This paper overviews some recent advances on simulation-based methods of estimating time series models and asset pricing models that are widely used in finance. The simulation based methods have proven to be particularly useful when the likelihood function and moments do not have tractable forms and hence the maximum likelihood method (MLE) and the generalized method of moments (GMM) are diffic...

Gaussian mixture modeling with universal background model (GMM-UBM) is a widely used method for speaker identification, where the GMM model is used to characterize a specific speaker’s voice. The estimation of model parameters is generally performed based on the maximum likelihood (ML) or maximum a posteriori (MAP) criteria. In this way, interspeaker information that discriminates between diffe...