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Judging contending estimators by simulation : tournaments in dynamic panel data models
Kiviet, J. F. - 2005
dynamic panel data models. To illustrate particular pitfalls some further Monte Carlo results are produced, obtained from a … moments (GMM) estimators in homoskedastic stable zero-mean panel AR(1) models with random individual specific effects. We …
Persistent link: https://www.econbiz.de/10011348362
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Generalized dynamic panel data models with random effects for cross-section and time
Mesters, Geert; Koopman, Siem Jan - 2012
Persistent link: https://www.econbiz.de/10009722706
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Dynamic factor analysis in the presence of missing data
Jungbacker, Borus; Koopman, Siem Jan; Wel, Michel van der - 2011
This paper concerns estimating parameters in a high-dimensional dynamic factormodel by the method of maximum likelihood. To accommodate missing data in theanalysis, we propose a new model representation for the dynamic factor model. Itallows the Kalman filter and related smoothing methods to...
Persistent link: https://www.econbiz.de/10011377572
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Estimating systematic continuous-time trends in recidivism using a non-Gaussian panel data model
Koopman, Siem Jan; Lucas, André; Ooms, Marius; … - 2007
We model panel data of crime careers of juveniles from a Dutch Judicial Juvenile Institution. The data are decomposed …
Persistent link: https://www.econbiz.de/10011372520
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The weak instrument problem of the system GMM estimator in dynamic panel data models
Bun, Maurice J. G.; Windmeijer, Frank - 2009
The system GMM estimator for dynamic panel data models combines moment conditions for the model in first differences … model in terms of bias and root mean squared error. However, we show in this paper that in the covariance stationary panel … results are shown to extend to the panel data GMM estimators. …
Persistent link: https://www.econbiz.de/10011379149
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The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models
Bun, Maurice J. G.; Kiviet, J. F. - 2002
The finite sample behaviour is analysed of particular least squares (LS) andmethod of moments (MM) estimators in panel …
Persistent link: https://www.econbiz.de/10011327521
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The accuracy of inference in small samples of dynamic panel data models
Bun, Maurice J. G.; Kiviet, J. F. - 2001
Through Monte Carlo experiments the small sample behavior is examinedof various inference techniques for dynamic panel …
Persistent link: https://www.econbiz.de/10011313931
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Nonparametric estimation for non-homogeneous semi-Markov processes : an application to credit risk
Monteiro, André Antonio; Smirnov, Georgi V.; Lucas, André - 2006
We propose procedures for estimating the time-dependent transition matrices for the general class of finite nonhomogeneous continuous-time semi-Markov processes. We prove the existence and uniqueness of solutions for the system of Volterra integral equations defining the transition matrices,...
Persistent link: https://www.econbiz.de/10011348706
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Comparative advantage, the rank-size rule, and Zipf's law
Hinloopen, Jeroen; Marrewijk, Charles van - 2006
Using a comprehensive international trade data set we investigate empirical regularities (known as Zipf’s Law or the rank-size rule) for the distribution of the interaction between countries as measured by revealed comparative advantage. Using the recently developed estimator by Gabaix and...
Persistent link: https://www.econbiz.de/10011349703
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Parameter driven multi-state duration models : simulated vs. approximate maximum likelihood estimation
Monteiro, André Antonio - 2008 - This version: February 15, 2008
Likelihood based inference for multi-state latent factor intensity models is hindered by the fact that exact closed-form expressions for the implied data density are not available. This is a common and well-known problem for most parameter driven dynamic econometric models. This paper reviews,...
Persistent link: https://www.econbiz.de/10011374420