1 This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimators when the number of moment conditions is allowed to increase with the sample size and the moment conditions may be weak. Examples in which these asymptotics are relevant include instrumental variable (IV) estimation with many (possibly weak or uninformed) instruments and some panel data model...

We develop a generalized method of moments (GMM) estimator for the distribution of a variable where summary statistics are available only for intervals of the random variable. Without individual data, one cannot calculate the weighting matrix for the GMM estimator. Instead, we propose a simulated weighting matrix based on a first-step consistent estimate. When the functional form of the underly...

A well known difficulty in estimating conditional moment restrictions is that the parameters of interest need not be globally identified by the implied unconditional moments. In this paper, we propose an approach to constructing a continuum of unconditional moments that can ensure parameter identifiability. These unconditional moments depend on the “instruments” generated from a “generically co...

This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters. We consider cases in which the nuisance parameter is estimated from independent and identical samples. A simulation experiment is conducted for covariance structure models. Empirical likelihood offers much reduced mean and median bia...

T he environmental issues have received a lot of attention in recent years. Since environmental pollution is one of the issues that may damage the ability of future generations, it is important to examine the determinants of the environment quality. The main objective of this study is to investigate the impact of urban and rural income inequality on natural gas consumption in Iran. To this...

Variability in speech due to dialect is a major factor limiting speech system performance for speech recognition, spoken document retrieval, and dialog systems. In this study, we propose a novel discriminative algorithm to improve dialect classification for unsupervised spontaneous speech in Arabic. No transcripts are used for either training or testing, and all data are spontaneous speech. The...

Most developing countries in this study are middle to low-income that have a relatively low economic complexity. This aims analyze the effect of complexity on growth 86 2010-2019. The method used is Generalized Method Moments (GMM) capture dynamic panel analysis. estimation results using System GMM show has positive countries. Increasing encourages structural transformation through high value-a...

in present study, role of agricultural on eco countries regional convergence was assessed in dynamic panel data model. at first, eco countries convergence and agricultural sector effect in convergence acceleration was surveyed by generalized method of moments (gmm) over the period 1996-2005. results showed that, this is convergence between eco countries. in spite of increasing regional growth, ...