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  • Search: subject:"Nonlinear instrumental variables"
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Year of publication
Subject
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nonlinear instrumental variables 6 endogeneity 4 generalized method of moments 4 nonlinear models 4 Smooth transition 3 inflation targeting 3 Nonlinear instrumental variables 2 approximating functions 2 nonparametric likelihood 2 optimal instruments 2 poisson model 2 semiparametric efficiency 2 smooth transition 2 Eicker-White standard errors 1 Endogeneity 1 Generalized method of moments 1 Heteroskedasticity 1 Inflation targeting 1 Konsumentenverhalten 1 Monte-Carlo-Methode 1 Nichtparametrisches Verfahren 1 Nonlinear models 1 Panel unit roots 1 Schätzung 1 Structural breaks 1 Theorie 1 Zigarette 1 Zähldatenmodell 1 inflation targeting. 1
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Online availability
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Free 5 Undetermined 2
Type of publication
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Book / Working Paper 6 Article 2
Type of publication (narrower categories)
All
Working Paper 2
Language
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English 4 Undetermined 4
Author
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McAleer, Michael 4 Areosa, Waldyr Dutra 3 Boes, Stefan 2 Medeiros, Marcelo C. 2 Areosa, Areosa, W.D. 1 Areosa, W.D. 1 Demetrescu, Matei 1 Hanck, Christoph 1 McAleer, M.J. 1 Medeiros, M.C. 1 Medeiros, Marcelo Cunha 1 Medeiros, Medeiros, M.C. 1
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Institution
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Departamento de Economia, Pontifícia Universidade Católica do Rio de Janeiro 1 Erasmus University Rotterdam, Econometric Institute 1 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 1 Institut für Volkswirtschaftslehre, Wirtschaftswissenschaftliche Fakutät 1
Published in...
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Econometric Institute Report 1 Econometric Institute Research Papers 1 Journal of Econometrics 1 SOI - Working Papers 1 Statistical Papers / Springer 1 Texto para discussão 1 Textos para discussão 1 Working Paper 1
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Source
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RePEc 6 EconStor 2
Showing 1 - 8 of 8
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Moment-based estimation of smooth transition regression models with endogenous variables
Areosa, Waldyr Dutra; McAleer, Michael; Medeiros, Marcelo C. - 2010
Nonlinear regression models have been widely used in practice for a variety of time series and cross-section datasets. For purposes of analyzing univariate and multivariate time series data, in particular, Smooth Transition Regression (STR) models have been shown to be very useful for...
Persistent link: https://www.econbiz.de/10011807395
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Cover Image
Moment-based estimation of smooth transition regression models with endogenous variables
Areosa, Waldyr Dutra; McAleer, Michael; Medeiros, … - Departamento de Economia, Pontifícia Universidade … - 2010
Nonlinear regression models have been widely used in practice for a variety of time series and cross-section datasets. For purposes of analyzing univariate and multivariate time series data, in particular, Smooth Transition Regression (STR) models have been shown to be very useful for...
Persistent link: https://www.econbiz.de/10008494112
Saved in:
Cover Image
Moment-bases estimation of smooth transition regression models with endogenous variables
McAleer, Michael; Areosa, Areosa, W.D.; Medeiros, … - Faculteit der Economische Wetenschappen, Erasmus … - 2008
Nonlinear regression models have been widely used in practice for a variety of time series and cross-section datasets. For purposes of analyzing univariate and multivariate time series data, in particular, Smooth Transition Regression (STR) models have been shown to be very useful for...
Persistent link: https://www.econbiz.de/10011149260
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Cover Image
Moment-bases estimation of smooth transition regression models with endogenous variables
Areosa, W.D.; McAleer, M.J.; Medeiros, M.C. - Erasmus University Rotterdam, Econometric Institute - 2008
Nonlinear regression models have been widely used in practice for a variety of time series and cross-section datasets. For purposes of analyzing univariate and multivariate time series data, in particular, Smooth Transition Regression (STR) models have been shown to be very useful for...
Persistent link: https://www.econbiz.de/10005056591
Saved in:
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Count data models with unobserved heterogeneity: An empirical likelihood approach
Boes, Stefan - 2007
As previously argued, the correlation between included and omitted regressors generally causes inconsistency of standard estimators for count data models. Using a specific residual function and suitable instruments, a consistent generalized method of moments estimator can be obtained under...
Persistent link: https://www.econbiz.de/10010315597
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Nonlinear IV panel unit root testing under structural breaks in the error variance
Demetrescu, Matei; Hanck, Christoph - In: Statistical Papers 54 (2013) 4, pp. 1043-1066
The paper examines the behavior of a generalized version of the nonlinear IV unit root test proposed by Chang (<CitationRef CitationID="CR6">2002</CitationRef>) when the series’ errors exhibit nonstationary volatility. The leading case of such nonstationary volatility concerns structural breaks in the error variance. We show that the...</citationref>
Persistent link: https://www.econbiz.de/10010998556
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Moment-based estimation of smooth transition regression models with endogenous variables
Areosa, Waldyr Dutra; McAleer, Michael; Medeiros, Marcelo C. - In: Journal of Econometrics 165 (2011) 1, pp. 100-111
Nonlinear regression models have been widely used in practice for a variety of time series and cross-section datasets. For purposes of analyzing univariate and multivariate time series data, in particular, smooth transition regression (STR) models have been shown to be very useful for...
Persistent link: https://www.econbiz.de/10010574101
Saved in:
Cover Image
Count Data Models with Unobserved Heterogeneity: An Empirical Likelihood Approach
Boes, Stefan - Institut für Volkswirtschaftslehre, … - 2007
As previously argued, the correlation between included and omitted regressors generally causes inconsistency of standard estimators for count data models. Using a specific residual function and suitable instruments, a consistent generalized method of moments estimator can be obtained under...
Persistent link: https://www.econbiz.de/10005819668
Saved in:
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