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Change point estimation in panel data without boundary issue
Peštová, Barbora; Pešta, Michal - In: Risks : open access journal 5 (2017) 1, pp. 1-22
Panel data of our interest consist of a moderate number of panels, while the panels contain a small number of observations. An estimator of common breaks in panel means without a boundary issue for this kind of scenario is proposed. In particular, the novel estimator is able to detect a common...
Persistent link: https://www.econbiz.de/10011636497
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Bootstrap methods for inference in the Parks model
Moundigbaye, Mantobaye; Messemer, Clarisse; Parks, … - 2019
This paper shows how to bootstrap hypothesis tests in the context of the Parks (Efficient estimation of a system of … regression equations when disturbances are both serially and contemporaneously correlated 1967) estimator. It then demonstrates … that the bootstrap outperforms Parks's top competitor. The Parks estimator has been a workhorse for the analysis of panel …
Persistent link: https://www.econbiz.de/10012018487
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Bootstrap methods for inference in the Parks model
Moundigbaye, Mantobaye; Messemer, Clarisse; Parks, … - 2020
This paper shows how to bootstrap hypothesis tests in the context of the Parks’s (1967) Feasible Generalized Least … Squares estimator. It then demonstrates that the bootstrap outperforms FGLS(Parks)’s top competitor. The FGLS(Parks) estimator … has been a workhorse for the analysis of panel data and seemingly unrelated regression equation systems because it allows …
Persistent link: https://www.econbiz.de/10012160012
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A correction function approach to solve the incidental parameter problem
Li, Guangjie; Leon-Gonzalez, Roberto - 2009
Following Lancaster (2002), we propose a strategy to solve the incidental parameter problem. The method is demonstrated under a simple panel Poisson count model. We also extend the strategy to accomodate cases when information orthogonality is unavailable, such as the linear AR(p) panel model....
Persistent link: https://www.econbiz.de/10010288792
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Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models
Kiviet, J. F.; Pleus, Milan; Poldermans, Rutger - 2015
The performance in finite samples is examined of inference obtained by variants of the Arellano-Bond and the Blundell-Bond GMM estimation techniques for single dynamic panel data models with possibly endogenous regressors and cross-sectional heteroskedasticity. By simulation the effects are...
Persistent link: https://www.econbiz.de/10010476668
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A correction function approach to solve the incidental parameter problem
Li, Guangjie; Leon-Gonzalez, Roberto - 2009
Following Lancaster (2002), we propose a strategy to solve the incidental parameter problem. The method is demonstrated under a simple panel Poisson count model. We also extend the strategy to accomodate cases when information orthogonality is unavailable, such as the linear AR(p) panel model....
Persistent link: https://www.econbiz.de/10003817215
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Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models
Kiviet, J. F.; Pleus, Milan; Poldermans, Rutger - In: Econometrics : open access journal 5 (2017) 1, pp. 1-54
Studies employing Arellano-Bond and Blundell-Bond generalized method of moments (GMM) estimation for linear dynamic panel data models are growing exponentially in number. However, for researchers it is hard to make a reasoned choice between many different possible implementations of these...
Persistent link: https://www.econbiz.de/10011654182
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Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models
Kiviet, Jan F. - 2015
The performance in finite samples is examined of inference obtained by variants of the Arellano-Bond and the Blundell-Bond GMM estimation techniques for single dynamic panel data models with possibly endogenous regressors and cross-sectional heteroskedasticity. By simulation the effects are...
Persistent link: https://www.econbiz.de/10013028784
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On bootstrap inference for quantile regression panel data : a Monte Carlo study
Galvão Júnior, Antônio Fialho; Montes-Rojas, Gabriel - In: Econometrics : open access journal 3 (2015) 3, pp. 654-666
This paper evaluates bootstrap inference methods for quantile regression panel data models. We propose to construct … confidence intervals for the parameters of interest using percentile bootstrap with pairwise resampling. We study three different … bootstrapping procedures. First, the bootstrap samples are constructed by resampling only from cross-sectional units with …
Persistent link: https://www.econbiz.de/10011410652
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The performance of panel cointegration methods: Results from a large scale simulation study
Wagner, Martin; Hlouskova, Jaroslava - 2007
This paper presents results concerning the performance of both single equation and system panel cointegration tests and estimators. The study considers the tests developed in Pedroni (1999, 2004), Westerlund (2005), Larsson, Lyhagen, and Löthgren (2001) and Breitung (2005); and the estimators...
Persistent link: https://www.econbiz.de/10010293988