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  • Search: subject:"Best linear prediction"
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Year of publication
Subject
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Aumann Expectation 2 Best Linear Prediction 2 Best linear prediction 2 Estimation theory 2 Forecasting model 2 Interval Data 2 Monte Carlo simulation 2 Monte-Carlo-Simulation 2 Multiple Equilibria 2 Partial Identification 2 Prognoseverfahren 2 Random Sets 2 Random Utility Models 2 Regression analysis 2 Regressionsanalyse 2 Schätztheorie 2 Support Function 2 data combination 2 inference 2 partial identification 2 Finite Static Games 1 Normal Form Games 1 Theorie 1 Theory 1 Time series analysis 1 Zeitreihenanalyse 1 best linear prediction 1 multidimensional stationary time series 1 smooth spectral density 1 spectral factor 1 Ökonometrisches Modell 1
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Online availability
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Free 5 CC license 1
Type of publication
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Book / Working Paper 4 Article 1
Type of publication (narrower categories)
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Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 5
Author
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Beresteanu, Arie 2 D'Haultfœuille, Xavier 2 Gaillac, Christophe 2 Maurel, Arnaud 2 Molchanov, Ilya 2 Molinari, Francesca 2 Szabados, Tamás 1
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Published in...
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cemmap working paper 2 Econometrics : open access journal 1 Working paper series 1 Working papers / TSE : WP 1
Source
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ECONIS (ZBW) 3 EconStor 2
Showing 1 - 5 of 5
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Linear regressions with combined data
D'Haultfœuille, Xavier; Gaillac, Christophe; Maurel, Arnaud - 2025
Persistent link: https://www.econbiz.de/10015191529
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Linear regressions with combined data
D'Haultfœuille, Xavier; Gaillac, Christophe; Maurel, Arnaud - 2024
Persistent link: https://www.econbiz.de/10015175860
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Factorization of a spectral density with smooth eigenvalues of a multidimensional stationary time series
Szabados, Tamás - In: Econometrics : open access journal 11 (2023) 2, pp. 1-11
The aim of this paper to give a multidimensional version of the classical one-dimensional case of smooth spectral density. A spectral density with smooth eigenvalues and H∞ eigenvectors gives an explicit method to factorize the spectral density and compute the Wold representation of a weakly...
Persistent link: https://www.econbiz.de/10014362622
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Sharp identification regions in models with convex moment predictions
Beresteanu, Arie; Molchanov, Ilya; Molinari, Francesca - 2010
We provide a tractable characterization of the sharp identification region of the parameters θ in a broad class of incomplete econometric models. Models in this class have set valued predictions that yield a convex set of conditional or unconditional moments for the observable model variables....
Persistent link: https://www.econbiz.de/10010288400
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Sharp identification regions in models with convex predictions: Games, individual choice, and incomplete data
Beresteanu, Arie; Molchanov, Ilya; Molinari, Francesca - 2009
We provide a tractable characterization of the sharp identification region of the parameters θ in a broad class of incomplete econometric models. Models in this class have set-valued predictions that yield a convex set of conditional or unconditional moments for the model variables. In short,...
Persistent link: https://www.econbiz.de/10010288419
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