spatial panel data models in R Gianfranco PirasPiras, Gianfranco
"splm: Spatial Panel Data Models in R." Journal of Statistical Software, 47(1), 1-38.Milo, G. and Piras, G. (2012) splm: Spatial Panel Data Models in R, Journal of Statistical Software, 47, 1: 1-38Millo, G., & Piras, G. (2012). Splm: spatial panel data models in R. ...
pder: Panel Data Econometrics with R Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemiology, this book presents classic met... Yves Croissant,Giovanni...
To view the vignettes in RStudio, run vignette("start-here","spsurvey")#start with this vignette for an spsurvey overviewvignette("EDA","spsurvey")#for summaries and visualizations (exploratory data analysis)vignette("sampling","spsurvey")#for spatially balanced samplingvignette("analysis","sp...
Industries benefit from both their own R&... DA Higon - 《Research Policy》 被引量: 151发表: 2007年 CONVERGENCE: A SPATIAL DYNAMIC PANEL DATA APPROACH A spatial dynamic panel data approach is adopted to study regional growth convergence in the US economy. In the neoclassical growth model, ...
Delgado, M. S. and R. J. G. M. Florax (2015). “Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction.” Economics Letters137: 123-126. We consider treatment effect estimation via a difference-in-difference approach for spatial data with local sp...
The modeling of spatial panel data is a method of analysis that include the dimension of space and time. In this analysis, the set of data that is required is a combination of cross sections and time series data, that is, either the data observed in each observation location periodically fr...
It is significant to note that for the doubled unit cells the primitive translation operatorLxacts as a nontrivial unitary operator in thekspace36, and takes the general form, {{{\mathcal{L}}}_{x}^{(d)}={\left[\begin{array}{cc}0&R({k}_{x})\\ {e}^{i{k}_{x}}{R}^{{{...
In contrast to other investigations regarding COVID-19-related mortality, we calculated excess mortality for the 569 European regions of our panel utilising official mortality data regularly gathered by vital registration systems, which are less susceptible to reporting delays and misclassification. We ens...
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 ...