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Titlebook: Contributions to Econometric Theory and Application; Essays in Honour of R. A. L. Carter,J. Dutta,A. Ullah Book 1990 Springer-Verlag New Y

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VDI-Taschenlexikon Immissionsschutzling have been in the construction of sampling distributions. Here, we demonstrate that in models specified by moment condition, often referred to as generalised method of moments, resampling can be used to generate testable implications of these moment restrictions. We also use resampling technique
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https://doi.org/10.1007/978-3-642-51568-2 respect to a given exogenous variable which are the same for all reduced form equations. This paper exploits this property to develop estimators that are in the spirit of full information maximum likehood (FIML) and to develop test statistics that are of the Student sort, provided that the reduced
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,Large Sample Distribution of Several Inequality Measures: With Application to Côte d’Ivoire,eral inequality measures that are used to test whether observed differences in sample estimates are statistically significant. The results presented in the paper are used to analyze income inequality in Côte d’Ivoire from the data of the Living Standards Survey, 1985.
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Nonparametric-Monte-Carlo Estimates of t-Ratio Distributions in Dynamic Simultaneous Linear Equatiocients of dynamic simultaneous linear equations models. Various versions of the instrumental variables estimator were obtained by using differing amounts of prior information to choose the instrument set. The results suggest that the asymptotically correct standard normal distribution is a poor approximation when samples are very small.
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,Developments in Double k—Class Estimators of Parameters in Structural Equations,cterized by two scalars. This article reviews briefly the results dealing with the properties of estimators. Specifically, the issues in finite sample properties are highlighted and an appraisal is presented.
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978-1-4613-9018-3Springer-Verlag New York Inc. 1990
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Herstellung der kompakten Reinmetalle,ted which illustrate their generation and their importance for prediction. The relationship of exogenous variables to vector autoregressive models and the notion of Granger-causality is also discussed.
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