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1.
The Reduced Form of a Block Recursive Model
Open Access
Title:
The Reduced Form of a Block Recursive Model
Author:
Schneeweiss, Hans
;
Maschke, Erich Otto
;
Pfannes, M.
Schneeweiss, Hans
;
Maschke, Erich Otto
;
Pfannes, M.
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Description:
Various estimators of the reduced form of a block recursive model are investigated and compared to each other. In particular it is shown that the structural reduced form estimator, which results from estimating separately each block of the block recursive model by some efficient method and then solving the system for the endogenous variables, is...
Various estimators of the reduced form of a block recursive model are investigated and compared to each other. In particular it is shown that the structural reduced form estimator, which results from estimating separately each block of the block recursive model by some efficient method and then solving the system for the endogenous variables, is more efficient than the OLS estimator of the reduced form. Other reduced form estimators derived from OLS or Two Stage LS estimators of a partially reduced form have intermediate efficiency properties. The paper has been published in Schneeweiss et al (2001), but without the appendices.
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Year of Publication:
2003
Document Type:
doctype:workingPaper
Language:
eng
Subjects:
ddc:330 ; Block recursive model ; reduced form ; simultaneous equations model ; Simultanes Gleichungssystem ; Schätztheorie ; Theorie
ddc:330 ; Block recursive model ; reduced form ; simultaneous equations model ; Simultanes Gleichungssystem ; Schätztheorie ; Theorie
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DDC:
330 Economics
Rights:
http://www.econstor.eu/dspace/Nutzungsbedingungen
http://www.econstor.eu/dspace/Nutzungsbedingungen
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Relations:
Discussion papers / Sonderforschungsbereich 386 der LudwigMaximiliansUniversität München 307
URL:
http://hdl.handle.net/10419/23866
http://hdl.handle.net/10419/23866
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Content Provider:
EconStor (German National Library of Economics, ZBW)
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2.
The efficiency of adjusted least squares in the linear functional relationship
Title:
The efficiency of adjusted least squares in the linear functional relationship
Author:
Kukush, Alexander
;
Maschke, Erich Otto
Kukush, Alexander
;
Maschke, Erich Otto
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Description:
A linear functional errorsinvariables model with unknown slope parameter and Gaussian errors is considered. The measurement error variance is supposed to be known, while the variance of errors in the equation is unknown. In this model a risk bound of asymptotic minimax type for arbitrary estimators is established. The bound lies above that one...
A linear functional errorsinvariables model with unknown slope parameter and Gaussian errors is considered. The measurement error variance is supposed to be known, while the variance of errors in the equation is unknown. In this model a risk bound of asymptotic minimax type for arbitrary estimators is established. The bound lies above that one which was found previously in the case of both variances known. The bound is attained by an adjusted leastsquares estimators. ; Adjusted leastsquares estimator Asymptotic efficiency Gaussian errors Hajek bound Linear functional errorsinvariables model
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Document Type:
article
URL:
http://www.sciencedirect.com/science/article/B6WK94909DBT1/2/5c6d24826ba09a94d76fdd4cc554d513
http://www.sciencedirect.com/science/article/B6WK94909DBT1/2/5c6d24826ba09a94d76fdd4cc554d513
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Content Provider:
RePEc: Research Papers in Economics
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3.
The Efficiency of Adjusted Least Squares in the Linear Functional Relationship
Title:
The Efficiency of Adjusted Least Squares in the Linear Functional Relationship
Author:
Kukush, Alexander
;
Maschke, Erich Otto
Kukush, Alexander
;
Maschke, Erich Otto
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Description:
A linear functional errorsinvariables model with unknown slope parameter and Gaussian errors is considered. The measurement error variance is supposed to be known, while the variance of errors in the equation is unknown. In this model a risk bound of asymptotic minimax type for arbitrary estimators is established. The bound lies above that one...
A linear functional errorsinvariables model with unknown slope parameter and Gaussian errors is considered. The measurement error variance is supposed to be known, while the variance of errors in the equation is unknown. In this model a risk bound of asymptotic minimax type for arbitrary estimators is established. The bound lies above that one which was found previously in the case of both variances known. The bound is attained by an adjusted least square estimator.
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Year of Publication:
20000101
Document Type:
doctype:workingPaper ; Paper ; NonPeerReviewed
Language:
eng
Subjects:
Sonderforschungsbereich 386 ; Sonderforschungsbereich 386 ; ddc:510
Sonderforschungsbereich 386 ; Sonderforschungsbereich 386 ; ddc:510
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Relations:
http://epub.ub.unimuenchen.de/1598/1/paper_208.pdf ; Kukush, Alexander und Maschke, Erich Otto (2000): The Efficiency of Adjusted Least Squares in the Linear Functional Relationship. Sonderforschungsbereich 386, Discussion Paper 208
URL:
http://epub.ub.unimuenchen.de/1598/
http://nbnresolving.de/urn/resolver.pl?urn=nbn:de:bvb:19epub15981
http://epub.ub.unimuenchen.de/1598/
http://nbnresolving.de/urn/resolver.pl?urn=nbn:de:bvb:19epub15981
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Content Provider:
LudwigMaximiliansUniversity Munich: Open Access LMU
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4.
The Reduced Form of a Block Recursive Model
Title:
The Reduced Form of a Block Recursive Model
Author:
Schneeweiß, Hans
;
Maschke, Erich Otto
;
Pfannes, Manfred
Schneeweiß, Hans
;
Maschke, Erich Otto
;
Pfannes, Manfred
Minimize authors
Description:
Various estimators of the reduced form of a block recursive model are investigated and compared to each other. In particular it is shown that the structural reduced form estimator, which results from estimating separately each block of the block recursive model by some efficient method and then solving the system for the endogenous variables, is...
Various estimators of the reduced form of a block recursive model are investigated and compared to each other. In particular it is shown that the structural reduced form estimator, which results from estimating separately each block of the block recursive model by some efficient method and then solving the system for the endogenous variables, is more efficient than the OLS estimator of the reduced form. Other reduced form estimators derived from OLS or Two Stage LS estimators of a partially reduced form have intermediate efficiency properties. The paper has been published in Schneeweiss et al (2001), but without the appendices.
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Year of Publication:
20030101
Document Type:
doctype:workingPaper ; Paper ; NonPeerReviewed
Language:
eng
Subjects:
Sonderforschungsbereich 386 ; Sonderforschungsbereich 386 ; ddc:510
Sonderforschungsbereich 386 ; Sonderforschungsbereich 386 ; ddc:510
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Relations:
http://epub.ub.unimuenchen.de/1689/1/paper_307.pdf ; Schneeweiß, Hans und Maschke, Erich Otto und Pfannes, Manfred (2003): The Reduced Form of a Block Recursive Model. Sonderforschungsbereich 386, Discussion Paper 307
URL:
http://epub.ub.unimuenchen.de/1689/
http://nbnresolving.de/urn/resolver.pl?urn=nbn:de:bvb:19epub16894
http://epub.ub.unimuenchen.de/1689/
http://nbnresolving.de/urn/resolver.pl?urn=nbn:de:bvb:19epub16894
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Content Provider:
LudwigMaximiliansUniversity Munich: Open Access LMU
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(4) Maschke, Erich Otto
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(2) sonderforschungsbereich 386
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