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  • Search: subject:"semi-parametric inference"
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Year of publication
Subject
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semi-parametric inference 6 hypothesis testing 4 impulse responses 4 independent component analysis 4 weak identification 4 Estimation 3 Estimation theory 3 Induktive Statistik 3 Schätztheorie 3 Schätzung 3 Statistical inference 3 Statistical test 3 Statistischer Test 3 Time series analysis 3 VAR model 3 VAR-Modell 3 Zeitreihenanalyse 3 Bayesian estimation 1 Dynamic discrete choice models 1 Local likelihood 1 MCMC 1 Markov decision processes 1 identification 1 model misspecification 1 robust estimation 1
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Online availability
All
Free 4 Undetermined 1
Type of publication
All
Book / Working Paper 5 Article 1
Type of publication (narrower categories)
All
Working Paper 4 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3
Language
All
English 4 Undetermined 2
Author
All
Hoesch, Lukas 4 Lee, Adam 4 Mesters, Geert 4 Copas, J.B. 1 Norets, Andriy 1 Stride, C.B. 1 Tang, Xun 1
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Institution
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Department of Economics, University of Pennsylvania 1
Published in...
All
Annals of the Institute of Statistical Mathematics 1 BSE working paper : working papers 1 Discussion paper / Tinbergen Institute 1 PIER Working Paper Archive 1 Tinbergen Institute Discussion Paper 1 Working papers / Universitat Pompeu Fabra, Department of Economics and Business 1
Source
All
ECONIS (ZBW) 3 RePEc 2 EconStor 1
Showing 1 - 6 of 6
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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/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
Saved in:
Cover Image
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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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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Semi-Parametric Inference in Dynamic Binary Choice Models
Norets, Andriy; Tang, Xun - Department of Economics, University of Pennsylvania - 2013
We introduce an approach for semi-parametric inference in dynamic binary choice models that does not impose …
Persistent link: https://www.econbiz.de/10010822905
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Fitting a Normal Distribution When the Model is Wrong
Copas, J.B.; Stride, C.B. - In: Annals of the Institute of Statistical Mathematics 49 (1997) 4, pp. 601-614
Persistent link: https://www.econbiz.de/10005616121
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