نتایج جستجو برای: generalized method of moments gmm system jel classification d31
تعداد نتایج: 21472466 فیلتر نتایج به سال:
This paper is devoted to "Some Discrete Distributions Generated by Standard Stable Densities" (in short, Discrete Stable Densities). The large-sample properties of M-estimators as obtained by the "Generalized Method of Moments" (GMM) are discussed for such distributions. Some corollaries are proposed. Moreover, using the respective results we demonstrate the large-sample pro...
the main objective of this paper is to analysis the impact of information and communication technology (ict) on energy consumption in the mena region selected countries during the period 1995-2011. for this purpose, used the model presented by sadorsky (2012) and three indicators that measured ict: the number of internet users, the number of mobile lines and the number of telephone lines. also,...
dividend policy is one of the most important financial decisions that managers encounter. this study contributes to the literature of dividend and empirical research investigating the effects of dynamic factors in tehran stock exchange. based on some criteria, the study contains 133 listed firms over a 10-year period from 2001 to 2010. to test the research hypotheses, this study uses fixed effe...
Social Spending Generosity and Income Inequality: A Dynamic Panel Approach This paper explores if more generous social spending polices in fact lead to less income inequality, or if redistributive outcomes are offset by behavioral disincentive effects. To account for the inherent endogeneity of social policies with regard to inequality levels, I apply the System GMM estimator and use the presum...
In this paper, by employing the Generalized Method of Moment (GMM) techniques and Chinese provincial level data from 1991 to 2003, we empirically investigate the relationship between finance and growth in post-reform China. We find that financial development significantly promotes economic growth in coastal regions but not in inland regions; the weak finance-growth nexus in inland provinces has...
This paper essentially extends the generalized spectral estimation of Berkowitz (2001) to provide a consistent generalized spectral estimator (GSE), considering all the information available, possibly with in nite dimensions, based upon Escanciano (2006). Our estimator can entertain the strengths of the Berkowitz-GSE over the standard GMM. In contrast, more importantly, the newly proposed estim...
presently, emerging economies are acquiring singular positions all over the world. the complexities of nowadays economy have caused international companies and investors to be of a tendency towards emerging markets for more profitability and growth. this study aims to find the relationships between firm's profitability and growth in iranian manufacturing industry consisting of tehran stock...
Consumption is the principal feature of Iranâs Gross National Production. Therefore, recognizing of factors that influence it is quite crucial. This article, investigates habit formation, durability, relative risk aversion and intertemporal substitution in consumption expenditures of Iranian households. For empirical study, at first, we constructed two weighted portfolio of the main assets re...
implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...
This paper analyzes the higher order asymptotic properties of Generalized Method of Moments (GMM) estimators for linear time series models using many lags as instruments. A data dependent moment selection method based on minimizing the approximate mean squared error is developed. In addition, a new version of the GMM estimator based on kernel weighted moment conditions is proposed. It is shown ...
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