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  • Search: subject:"Many parameters"
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Year of publication
Subject
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Spatial autoregression 6 Estimation theory 5 Schätztheorie 5 Autocorrelation 4 Autokorrelation 4 Increasingly many parameters 4 Räumliche Interaktion 4 Spatial interaction 4 Central limit theorem 3 Regional economics 3 Regionalökonomik 3 Method of moments 2 Momentenmethode 2 Panel 2 Panel study 2 Rate of convergence 2 Spatial panel data 2 central limit theorem 2 increasingly many parameters 2 rate of convergence 2 spatial panel data 2 Adaptive estimation 1 Asymptotic normality 1 Consistency 1 Efficiency 1 Effizienz 1 Estimation 1 Finite sample performance 1 Lagrange Multiplier test 1 Likelihood Ratio test 1 Many parameters 1 Maximum likelihood estimation 1 Maximum-Likelihood-Schätzung 1 Networks 1 Nichtparametrisches Verfahren 1 Nonparametric specification testing 1 Nonparametric statistics 1 Pseudo Gaussian maximum likelihood 1 Schätzung 1 Series estimation 1
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Online availability
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Undetermined 4 Free 2
Type of publication
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Article 5 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 5 Undetermined 2
Author
All
Gupta, Abhimanyu 7 Robinson, Peter M. 5
Institution
All
London School of Economics (LSE) 1
Published in...
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Journal of econometrics 4 Discussion paper series / University of Essex, Department of Economics 1 Journal of Econometrics 1 LSE Research Online Documents on Economics 1
Source
All
ECONIS (ZBW) 5 RePEc 2
Showing 1 - 7 of 7
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Efficient closed-form estimation of large spatial autoregressions
Gupta, Abhimanyu - In: Journal of econometrics 232 (2023) 1, pp. 148-167
Persistent link: https://www.econbiz.de/10013472872
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Inference on higher-order spatial autoregressive models with increasingly many parameters
Gupta, Abhimanyu; Robinson, Peter M. - London School of Economics (LSE) - 2015
This paper develops consistency and asymptotic normality of parameter estimates for a higher-order spatial autoregressive model whose order, and number of regressors, are allowed to approach infinity slowly with sample size. Both least squares and instrumental variables estimates are examined,...
Persistent link: https://www.econbiz.de/10011171757
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Pseudo maximum likelihood estimation of spatial autoregressive models with increasing dimension
Gupta, Abhimanyu; Robinson, Peter M. - In: Journal of econometrics 202 (2018) 1, pp. 92-107
Persistent link: https://www.econbiz.de/10011974555
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Inference on higher-order spatial autoregressive models with increasingly many parameters
Gupta, Abhimanyu; Robinson, Peter M. - 2013
Persistent link: https://www.econbiz.de/10010234259
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Nonparametric specification testing via the trinity of tests
Gupta, Abhimanyu - In: Journal of econometrics 203 (2018) 1, pp. 169-185
Persistent link: https://www.econbiz.de/10011974652
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Cover Image
Inference on higher-order spatial autoregressive models with increasingly many parameters
Gupta, Abhimanyu; Robinson, Peter M. - In: Journal of Econometrics 186 (2015) 1, pp. 19-31
This paper develops consistency and asymptotic normality of parameter estimates for a higher-order spatial autoregressive model whose order, and number of regressors, are allowed to approach infinity slowly with sample size. Both least squares and instrumental variables estimates are examined,...
Persistent link: https://www.econbiz.de/10011209282
Saved in:
Cover Image
Inference on higher-order spatial autoregressive models with increasingly many parameters
Gupta, Abhimanyu; Robinson, Peter M. - In: Journal of econometrics 186 (2015) 1, pp. 19-31
Persistent link: https://www.econbiz.de/10011348910
Saved in:
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