SPLM: spatial panel data models in R. J. Stat. Softw. 47, 1e 38.Millo, Giovanni, and Gianfranco Piras. 2012. SPLM: Spatial Panel Data Models in R. Journal of Statistical Software, 47(1), 1-38. URL http://www.jstatsoft.org/v47/i01/....
In recent years, the spatial econometrics literature has exhibited a growing interest in the specification and estimation of econometric relationships based on spatial panels. Spatial panels typically refer to data containing time series observations of
spatial panel data models in R Gianfranco Piras Econometricians have begun to devote more attention to spatial interactions when carrying out applied econometric studies. The new command we are presentin... G Piras 被引量: 0发表: 2009年
Spatial Panel Data Models外文电子书籍.pdf,C.2 Spatial Panel Data Models J. Paul Elhorst C.2.1 Introduction In recent years, the spatial econometrics literature has exhibited a growing interest in the specification and estimation of econometric relationsh
splm: Spatial Panel Data Models in R splm is an R package for the estimation and testing of various spatial panel data specifications. We consider the implementation of both maximum likelihood... G Millo,G Piras - 《Journal of Statistical Software》 被引量: 276发表: 2012年 A spatial panel ...
Millo G, Piras G (2012) Splm: spatial panel data models in R. J Stat Softw 47(1):1–38 Google Scholar Millo G (2013) Maximum likelihood estimation of spatially and serially correlated panels with random effects. Comput Stat Data Anal http://dx.doi.org/10.1016/j.bbr.2011.03.031, Fort...
We suggest and compare different methods for estimating spatial autoregressive panel models with randomly missing data in the dependent variable. We start with a random effects model and then generalize the model by introducing the spatial Mundlak approach. A nonlinear least squares method is suggested...
Empirical assessments of the forecasting power of spatial panel data econometric models are still scarcely available. Moreover, several methodological cont... M Mayor,R Patuelli - 《Working Paper》 被引量: 7发表: 2014年 Influential Factors of Spatial Distribution of Wheat Yield in China During 1978...
In our model, we use a spatial term to capture the network effects, and use the factor structure to deal with the unobservable heterogeneity in the data. Our model is related to two popular models, the spatial panel data model and the panel model with unobserved factor structure. Previous ...
We propose a homogeneous dynamic panel data model and several heterogeneous dynamic panel data models to consider the individual effect as well as endogenous. We also distinguish between the estimated long-run and short-run results. Our results indicate that both the R&D stock and R&D spatial ...