Nonparametric Estimation of the Spatial Connectivity Matrix Using Spatial Panel Data
نویسندگان
چکیده
منابع مشابه
Evaluating the effects of energy and economic growth on Carbon dioxide emission (using spatial panel data)
Energy is one of the most important inputs in production. Energy usage and energy diffusion of fossil fuels in process of production cause greenhouse gases (CO2) emission and destruction of environment. According to the importance of issues like energy usage and economic growth, this paper, concerning the effects of proximity, evaluates the effects of energy usage and economic growth on emissio...
متن کاملNonparametric Spectral-Spatial Anomaly Detection
Due to abundant spectral information contained in the hyperspectral images, they are suitable data for anomalous targets detection. The use of spatial features in addition to spectral ones can improve the anomaly detection performance. An anomaly detector, called nonparametric spectral-spatial detector (NSSD), is proposed in this work which utilizes the benefits of spatial features and local st...
متن کاملSpatial Correlation Testing for Errors in Panel Data Regression Model
To investigate the spatial error correlation in panel regression models, various statistical hypothesizes and testings have been proposed. This paper, within introduction to spatial panel data regression model, existence of spatial error correlation and random effects is investigated by a joint Lagrange Multiplier test, which simultaneously tests their existence. For this purpose, joint Lagrang...
متن کاملSpatial panel data models using Stata
xsmle is a new command for spatial analysis using Stata. We consider the quasi-maximum likelihood estimation of a wide set of both fixedand randomeffects spatial models for balanced panel data. Of special note is that xsmle allows to handle unbalanced panels thanks to its full compatibility with the mi suite of commands, to use spatial weight matrices in the form of both Stata matrices and spma...
متن کاملEstimation of spatial autoregressive panel data models with fixed effects
This paper establishes asymptotic properties of quasi-maximum likelihood estimators for SAR panel data models with fixed effects and SAR disturbances. A direct approach is to estimate all the parameters including the fixed effects. Because of the incidental parameter problem, some parameter estimatorsmay be inconsistent or their distributions are not properly centered. We propose an alternative...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geographical Analysis
سال: 2012
ISSN: 0016-7363
DOI: 10.1111/j.1538-4632.2012.00851.x