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restristions for standard GMM estimators in autoregressive panel data models. A comparison is made with recent test proposals based …
Persistent link: https://www.econbiz.de/10010293028
-Bond GMM estimation techniques for single dynamic panel data models with possibly endogenous regressors and cross …
Persistent link: https://www.econbiz.de/10010476668
panel data models are growing exponentially in number. However, for researchers it is hard to make a reasoned choice between …
Persistent link: https://www.econbiz.de/10011654182
This paper develops a method for testing for the presence of a single structural break in panel data models with …
Persistent link: https://www.econbiz.de/10013014830
restrictions for standard GMM estimators in autoregressive panel data models. A comparison is made with recent test proposals based …
Persistent link: https://www.econbiz.de/10014133628
model and moment selection criteria to dynamic panel data models with unobserved individual effects. The paper shows how to …
Persistent link: https://www.econbiz.de/10014164952
We compare the finite sample performance of a range of tests of linear restrictions for linear panel data models … have recently been proposed. We consider both the AR(1) panel model, and a design with predetermined regressors. The …
Persistent link: https://www.econbiz.de/10014064498
dynamic panel data (SDPD) model (Qu, Lee, and Yu, 2017). I firstly introduce the bias-corrected score function since the score …
Persistent link: https://www.econbiz.de/10013491649
This paper develops a new distribution theory and inference methods for over-identified Generalized Method of Moments (GMM) estimation focusing on the iterated GMM estimator, allowing for moment misspecification, and for clustered dependence with heterogeneous and growing cluster sizes. This...
Persistent link: https://www.econbiz.de/10014033687
We propose a new finite sample corrected variance estimator for the linear generalized method of moments (GMM) including the one-step, two-step, and iterated estimators. Our formula additionally corrects for the over-identification bias in variance estimation on top of the commonly used finite...
Persistent link: https://www.econbiz.de/10012863983