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  • Search: subject:"k-class estimator"
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Year of publication
Subject
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Multicollinearity 3 k-class estimator 3 CLT for bilinear forms 2 instrumental variables 2 local-to-zero framework 2 multicollinearity 2 ordinary ridge regression estimator 2 pathwise asymptotics 2 r − k Class estimator 2 r-k class estimator 2 weak instruments 2 Autocorrelation 1 Concomitant variables 1 Double k-class estimator 1 Instrumental Variables 1 Instrumental variables 1 Instrumentalvariablen-Schätzmethode 1 LINEX loss function 1 Local-to-zero Framework 1 Local-to-zero framework 1 Mean square error matrix 1 Mean square error matrix Multicollinearity Ordinary ridge regression estimator Principal components regression estimator r 1 Mean squared error matrix 1 Misspecification 1 Multiple linear regression 1 Ordinary ridge regression estimator 1 Pathwise Asymptotics 1 Pathwise asymptotics 1 Pitman closeness criterion 1 Principal components regression estimator 1 Ridge regression estimator 1 Schätztheorie 1 Theorie 1 Two-parameter estimator 1 Weak Instruments 1 Weak instruments 1 k class estimator 1 k-class Estimator 1 ordinary least squares estimator 1 principal component regression estimator 1
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Online availability
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Undetermined 7 Free 3
Type of publication
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Article 7 Book / Working Paper 4
Type of publication (narrower categories)
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Working Paper 1
Language
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Undetermined 9 English 2
Author
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Chao, John C. 3 Swanson, Norman R. 3 Kaçıranlar, Selahattin 2 Sarkar, Nityananda 2 Chang, Xinfeng 1 Chao, John Chao 1 Garg, G. 1 Heumann, C. 1 Inagaki, Nobuo 1 Jimichi, Masayuki 1 Sakallıoğlu, Sadullah 1 Shalabh 1 Swanson, Norman Rasmus 1 Yang, Hu 1 Özkale, M. 1 Şiray, Gülesen Üstündagˇ 1
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Institution
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Cowles Foundation for Research in Economics, Yale University 1 Department of Economics, Rutgers University-New Brunswick 1 School of Management, Yale University 1
Published in...
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Statistical Papers / Springer 3 Annals of the Institute of Statistical Mathematics 2 Cowles Foundation Discussion Papers 1 Departmental Working Papers / Department of Economics, Rutgers University-New Brunswick 1 Journal of Multivariate Analysis 1 Statistics & Probability Letters 1 Working Paper 1 Yale School of Management Working Papers 1
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Source
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RePEc 10 EconStor 1
Showing 1 - 10 of 11
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Performance of double k-class estimators for coefficients in linear regression models with non-spherical disturbances under asymmetric losses
Shalabh; Garg, G.; Heumann, C. - In: Journal of Multivariate Analysis 112 (2012) C, pp. 35-47
The risk associated with the estimators of the family of feasible generalized double k-class estimators under the LINEX loss function is derived in a linear regression model. The disturbances are assumed to be non-spherical and their variance–covariance matrix is unknown. A simulation study is...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010594233
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Consistent Estimation with a Large Number of Weak Instruments
Chao, John C.; Swanson, Norman Rasmus - School of Management, Yale University - 2004
This paper conducts a general analysis of the conditions under which consistent estimation can be achieved in instrumental variables regression when the available instruments are weak in the local-to-zero sense. More precisely, the approach adopted in this paper combines key features of the...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005587193
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Asymptotic Normality of Single-Equation Estimators for the Case with a Large Number of Weak Instruments
Swanson, Norman R.; Chao, John C. - 2003
This paper analyzes conditions under which various single-equation estimators are asymptotically normal in a simultaneous equations framework with many weak instruments. In particular, our paper adds to the many instruments asymptotic normality literature, including papers by Morimune (1983),...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010263213
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Consistent Estimation with a Large Number of Weak Instruments
Chao, John Chao; Swanson, Norman R. - Cowles Foundation for Research in Economics, Yale University - 2003
This paper conducts a general analysis of the conditions under which consistent estimation can be achieved in instrumental variables regression when the available instruments are weak in the local-to-zero sense. More precisely, the approach adopted in this paper combines key features of the...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005762818
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r − k Class estimator in the linear regression model with correlated errors
Şiray, Gülesen Üstündagˇ; Kaçıranlar, Selahattin; … - In: Statistical Papers 55 (2014) 2, pp. 393-407
aim of this paper is to examine multicollinearity and autocorrelation problems concurrently and to compare the r − k class … estimator to the generalized least squares estimator, the principal components regression estimator and the ridge regression …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010998572
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Combining two-parameter and principal component regression estimators
Chang, Xinfeng; Yang, Hu - In: Statistical Papers 53 (2012) 3, pp. 549-562
Persistent link: https://ebvufind01.dmz1.zbw.eu/10010998637
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Asymptotic Normality of Single-Equation Estimators for the Case with a Large Number of Weak Instruments
Chao, John C.; Swanson, Norman R. - Department of Economics, Rutgers University-New Brunswick - 2003
This paper analyzes conditions under which various single-equation estimators are asymptotically normal in a simultaneous equations framework with many weak instruments. In particular, our paper adds to the many instruments asymptotic normality literature, including papers by Morimune (1983),...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005839103
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Comparisons of the r − k class estimator to the ordinary least squares estimator under the Pitman’s closeness criterion
Özkale, M.; Kaçıranlar, Selahattin - In: Statistical Papers 49 (2008) 3, pp. 503-512
Persistent link: https://ebvufind01.dmz1.zbw.eu/10008486818
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Mean square error matrix comparison of some estimators in linear regressions with multicollinearity
Sarkar, Nityananda - In: Statistics & Probability Letters 30 (1996) 2, pp. 133-138
special cases of the r - k class estimator proposed by Baye and Parker (1984) for regression models with multicollinearity. We … obtain necessary and sufficient conditions for the superiority of the r - k class estimator over each of these three …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005074540
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r-k Class estimation in regression model with concomitant variables
Jimichi, Masayuki; Inagaki, Nobuo - In: Annals of the Institute of Statistical Mathematics 48 (1996) 1, pp. 89-95
Persistent link: https://ebvufind01.dmz1.zbw.eu/10005616172
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