This paper considers a class of generalized methods of moments (GMM) estimators for general dynamic panel models, allowing for weakly exogenous covariates and cross‐sectional dependence due to spatial lags, unspecified common shocks, and time‐varying interactive effects. We significantly exp...
effects. The well-known Baltagi and Li (2004) panel dataset, explaining cigarette demand for 46 US states over the period 1963 to 1992, is used to investigate whether the extension of a non-dynamic to a dynamic spatial panel data specification increases the explanatory power of the model. ...
Short panelsIn this paper, M-estimation and inference methods are developed for spatial dynamic panel data models with correlated random effects, based on short panels. The unobserved individual-specific effects are assumed to be correlated with the observed time-varying regressors linearly or in a ...
By using spatial dynamic panel model and dynamic panel data of China's thirty provincial regions in 1997-2007,this paper analyzes the function of RD investment to economic growth.The spatial econometric results show that there are long-term stable equilibrium relationship between the explanatory variab...
Chapter 4: Spatial Dynamic Panels -- Stable Models with Fixed Effects.Chapter 4 of the book "Foundations and Trends in Econometrics," is presented. It discusses the stable models with fixed effects of spatial dynamic panels. It offers information on a spatial dynamic panel model with both ...
The dynamic panel model assumes that each observation unit is independent of each other. But sometimes this assumption is violated, so there are spatial effects in the model. This study aimed to make percentage modeling of poverty in Indonesia using the Dynamic Spatial Durbin Model (DSDM). The ...
GMM estimation.SummaryThis paper presents an overview of recently developed estimation methods for dynamic paneldata models with spatial correlation. We discuss the specification, the main assumptions andtheimplications of the model. The most important estimation strategy is the application of General-ized...
xed effects models, but not the dynamic spatial panel data model. Spatial but non-dynamic panel data model The standard estimation method for the ?xed effects model without a serially lagged dependent variable and without spatial error autocorrelation (t 5 0; d 5 0) is to eliminate the ...
We propose quasi maximum likelihood (QML) estimation of dynamic panel models with spatial errors when the cross-sectional dimension n is large and the time dimension T is fixed. We consider both the random effects and fixed effects models, and prove consistency and derive the limiting distributions...
Most studies evaluating the macroeconomic effects of financial support policies on business-funded R&D use econometric methods that do not consider the existence of spatial effects, and generate biased estimates. In this paper, we discus and address this problem using spatial dynamic panel data methods...