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  • Search: subject:"Parametric inference"
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Year of publication
Subject
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Estimation theory 11 Schätztheorie 11 Induktive Statistik 7 Statistical inference 7 Estimation 6 Parametric inference 6 Schätzung 6 semi-parametric inference 6 Non-parametric inference 5 parametric inference 5 Time series analysis 4 Zeitreihenanalyse 4 average treatment effect 4 bias correction 4 hypothesis testing 4 impulse responses 4 independent component analysis 4 weak identification 4 Bias 3 Nichtparametrisches Verfahren 3 Nonparametric statistics 3 Regression analysis 3 Regressionsanalyse 3 Statistical test 3 Statistischer Test 3 Systematischer Fehler 3 VAR model 3 VAR-Modell 3 fixed bandwidth 3 heteroskedasticity robust standard errors 3 local polynomial estimators 3 locally parametric inference 3 Causality analysis 2 Contrast function 2 Filtering 2 Heteroscedasticity 2 Heteroskedastizität 2 Kausalanalyse 2 Markov chain 2 Markov-Kette 2
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Online availability
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Undetermined 20 Free 10
Type of publication
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Article 21 Book / Working Paper 13
Type of publication (narrower categories)
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Working Paper 8 Article in journal 7 Aufsatz in Zeitschrift 7 Arbeitspapier 6 Graue Literatur 5 Non-commercial literature 5
Language
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Undetermined 18 English 16
Author
All
Hoesch, Lukas 4 Lee, Adam 4 Mesters, Geert 4 Bartalotti, Otávio 3 Shimizu, Yasutaka 3 Hamilton, James 2 Abdollahnezhad, Kamel 1 Ahmad, Jamaal 1 Bartalotti, Otavio 1 Bladt, Mogens 1 Chesneau, Christophe 1 Comte, Fabienne 1 Copas, J.B. 1 El Kolei, Salima 1 Genon-Catalot, Valentine 1 Giesecke, Kay 1 He, Jie 1 Höpfner, R. 1 Jochmans, Koen 1 Judge, G. 1 Juneja, Januj Amar 1 Kaplan, David M. 1 Kessler, Mathieu 1 Kleiman-Weiner, Max 1 Kolei, Salima El 1 Kumar, T. Krishna 1 Kutoyants, Yu. 1 Lu, H.Y. Kevin 1 Markmann, Joseph M. 1 Martín, M.T. 1 Mena, Ramses H. 1 Navarro, Fabien 1 Norets, Andriy 1 Ogihara, T. 1 Plastino, A. 1 Provost, S. 1 Richard, Patrick 1 Ruggiero, Matteo 1 Schwenkler, Gustavo 1 Soltani, Ahmad 1
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Institution
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Department of Economics, Iowa State University 1 Department of Economics, University of Pennsylvania 1 Département d'économique, Faculté d'administration 1 International Centre for Economic Research (ICER) 1
Published in...
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Statistical Inference for Stochastic Processes 4 Annals of the Institute of Statistical Mathematics 2 Metrika 2 Physica A: Statistical Mechanics and its Applications 2 Studies in Nonlinear Dynamics & Econometrics 2 BSE working paper : working papers 1 Cahiers de recherche 1 Cambridge working papers in economics 1 Computational Statistics & Data Analysis 1 Computational economics 1 Discussion paper / Tinbergen Institute 1 Discussion paper series / IZA 1 ICER Working Papers - Applied Mathematics Series 1 IZA Discussion Papers 1 Journal of econometric methods 1 Journal of econometrics 1 Journal of quantitative economics : official journal of the Indian Econometric Society 1 METRON 1 PIER Working Paper Archive 1 Scandinavian actuarial journal 1 Staff General Research Papers / Department of Economics, Iowa State University 1 Série des documents de travail 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1 The econometrics journal 1 Tinbergen Institute Discussion Paper 1 Working paper series / Department of Economics, University of Missouri-Columbia 1 Working papers / Universitat Pompeu Fabra, Department of Economics and Business 1
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Source
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RePEc 19 ECONIS (ZBW) 13 EconStor 2
Showing 1 - 10 of 34
Cover Image
Robust Inference for Non-Gaussian SVAR models
Hoesch, Lukas; Lee, Adam; Mesters, Geert - 2022
All parameters in structural vector autoregressive (SVAR) models are locally identified when the structural shocks are independent and follow non-Gaussian distributions. Unfortunately, standard inference methods that exploit such features of the data for identification fail to yield correct...
Persistent link: https://www.econbiz.de/10014321755
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Robust inference for non-Gaussian SVAR models
Hoesch, Lukas; Lee, Adam; Mesters, Geert - 2022
All parameters in structural vector autoregressive (SVAR) models are locally identified when the structural shocks are independent and follow non-Gaussian distributions. Unfortunately, standard inference methods that exploit such features of the data for identification fail to yield correct...
Persistent link: https://www.econbiz.de/10013417421
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Robust inference for non-Gaussian SVAR models
Hoesch, Lukas; Lee, Adam; Mesters, Geert - 2022
Persistent link: https://www.econbiz.de/10014307413
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Comparing latent inequality with ordinal data
Kaplan, David M.; Zhao, Wei - 2022
Persistent link: https://www.econbiz.de/10014313008
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Robust inference for non-Gaussian SVAR models
Hoesch, Lukas; Lee, Adam; Mesters, Geert - 2022
Persistent link: https://www.econbiz.de/10014226606
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Aggregate Markov models in life insurance : estimation via the EM algorithm
Ahmad, Jamaal; Bladt, Mogens - In: Scandinavian actuarial journal 2024 (2024) 6, pp. 533-560
Persistent link: https://www.econbiz.de/10015052468
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Inference on a distribution from noisy draws
Jochmans, Koen; Weidner, Martin - 2019
Persistent link: https://www.econbiz.de/10012703101
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A computational analysis of the tradeoff in the estimation of different state space specifications of continuous time affine term structure models
Juneja, Januj Amar - In: Computational economics 60 (2022) 1, pp. 173-220
Persistent link: https://www.econbiz.de/10013262506
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Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation
Bartalotti, Otávio - 2018
In regression discontinuity design (RD), for a given bandwidth, researchers can estimate standard errors based on different variance formulas obtained under different asymptotic frameworks. In the traditional approach the bandwidth shrinks to zero as sample size increases; alternatively, the...
Persistent link: https://www.econbiz.de/10011873564
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Regression discontinuity and heteroskedasticity robust standard errors : evidence from a fixed-bandwidth approximation
Bartalotti, Otávio - 2018
In regression discontinuity design (RD), for a given bandwidth, researchers can estimate standard errors based on different variance formulas obtained under different asymptotic frameworks. In the traditional approach the bandwidth shrinks to zero as sample size increases; alternatively, the...
Persistent link: https://www.econbiz.de/10011869057
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