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subject:"Prognoseverfahren"
subject:"Regression analysis"
~institution:"Aarhus Universitet / Afdeling for Nationaløkonomi"
~institution:"Centre for Microdata Methods and Practice <London>"
~source:"econis"
~subject:"Monte Carlo simulation"
~subject:"Statistical distribution"
~type_genre:"Working Paper"
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Prognoseverfahren
Regression analysis
Monte Carlo simulation
Statistical distribution
Estimation theory
22
Schätztheorie
22
Theorie
9
Theory
9
Nichtparametrisches Verfahren
5
Nonparametric statistics
5
Method of moments
3
Momentenmethode
3
Cross-section analysis
2
Econometric model
2
Hedonic price index
2
Hedonischer Preisindex
2
Nichtlineare Optimierung
2
Nonlinear programming
2
Probability theory
2
Querschnittsanalyse
2
Regressionsanalyse
2
Statistical test
2
Statistischer Test
2
Wahrscheinlichkeitsrechnung
2
Ökonometrisches Modell
2
Bias
1
Bootstrap approach
1
Bootstrap-Verfahren
1
Cointegration
1
Consumer demand theory
1
Einheitswurzeltest
1
Estimation
1
Großbritannien
1
Kointegration
1
Modellierung
1
Monte-Carlo-Simulation
1
Nachfragetheorie des Haushalts
1
Panel
1
Panel study
1
Private consumption
1
Privater Konsum
1
Random variable
1
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3
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Book / Working Paper
3
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Working Paper
Arbeitspapier
3
Graue Literatur
3
Non-commercial literature
3
Language
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English
3
Author
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Lee, Sokbae
2
D'Addio, Anna Cristina
1
Honoré, Bo E.
1
Horowitz, Joel
1
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Aarhus Universitet / Afdeling for Nationaløkonomi
Centre for Microdata Methods and Practice <London>
Sonderforschungsbereich Quantifikation und Simulation Ökonomischer Prozesse
51
National Bureau of Economic Research
7
Center for Economic Research <Tilburg>
4
Econometrisch Instituut <Rotterdam>
4
European University Institute / Department of Law
4
Rutgers University / Department of Economics
4
Centre for Analytical Finance <Århus>
3
Escola de Pós-Graduação em Economia <Rio de Janeiro>
3
Brown University / Department of Economics
2
Ekonomiska forskningsinstitutet <Stockholm>
2
London School of Economics and Political Science
2
Technische Universität Dresden / Fakultät Wirtschaftswissenschaften
2
Trinity College Dublin / Department of Economics
2
Umeå universitet
2
Unité Mixte de Recherche Théorie Economique, Modélisation et Applications
2
University of Exeter / Department of Economics
2
Australian National University / Faculty of Economics
1
Birkbeck College / Department of Economics
1
Centre for Quantitative Economics & Computing
1
Computer Research Center for Economics and Management Science, National Bureau of Economic Research, inc.
1
European University Institute / Department of Economics
1
Federal Reserve Bank of Cleveland
1
Foerder Institute for Economic Research <Tēl-Āvîv>
1
Forschungsinstitut zur Zukunft der Arbeit
1
Institut National de Statistique <Brüssel>
1
Institut für Industriebetriebsforschung <Hamburg>
1
Mu'assasat an-Naqd al-ʿArabī as-Suʿūdī
1
National Bureau of Economic Research inc.
1
Nationalekonomiska Institutionen <Göteborg>
1
Nationalekonomiska Institutionen <Lund>
1
Nuffield College
1
Robert Schuman Centre for Advanced Studies
1
Shakai-Keizai-Kenkyūsho <Osaka>
1
Sonderforschungsbereich Statistical Modelling of Nonlinear Dynamic Processes
1
Umeå Universitet / Institutionen för Nationalekonomi
1
Universitat Pompeu Fabra / Departament d'Economia i Empresa
1
Universitetet i Oslo / Økonomisk institutt
1
University of New England / Department of Econometrics
1
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CEMMAP working papers / Centre for Microdata Methods and Practice
2
Economics working paper
1
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ECONIS (ZBW)
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Nonparametric estimation of an additive quantile regression model
Horowitz, Joel
(
contributor
);
Lee, Sokbae
(
contributor
)
-
2004
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002144568
Saved in:
2
Endogeneity quantile regression models : a control function approach
Lee, Sokbae
(
contributor
)
-
2004
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002144571
Saved in:
3
Duration dependence and time-varying variables in discrete time duration models
D'Addio, Anna Cristina
(
contributor
); …
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001702135
Saved in:
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