Taking a Bayesian perspective on model comparison for crosssectional and static panel data models considerably simplifies the task of selecting an appropriate model. A wide variety of alternative specifications that include various combinations spatial dependence in lagged values of the dependent variable, spatial lags of the explanatory variables, as well as dependence in the model disturbance...

This paper examines the relationship between input-output linkages and industry agglomeration by combining the strength of spatial econometrics and the input-output model. This paper uses the location quotient as a measure of industrial agglomeration and regresses it on the intermediate demand variable, which is an important variable in the integrated econometric and input-output models. The na...

This paper sets up a nested random effects spatial autoregressive panel data model to explain annual house price variation for 2000-2007 across 353 local authority districts in England. The estimation problem posed is how to allow for the endogeneity of the spatial lag variable producing the simultaneous spatial spillover of prices across districts together with the nested random effects in a p...

I n order to have a successful regional planning policy, one needs to know exactly the effective factors on the growth of the provinces. Thus, determining and evaluating these growth rates are important for urban and regional planners. The main goal of this study is to determine the effective factors on the growth (population growth and per capita income growth) of Iran’s provinces. ...

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...

he main purpose of this research is to answer the question that "How neighborhood of Iran's trading partners will have an effect on Iran intra-industry trade? For this purpose, the impact of spatial neighborhood effects of 23 major trade partners on Iran’s intra-industry trade for the period of 1995-2014, has been investigated through Spatial Panel Econometric and Maximum Likelihood Estimator (...

In S2 Fig., the second and third rows of firing rate maps in panel A are swapped and incorrectly labeled "arena frame" and "room frame" respectively. Instead, the second row should be labeled “room frame” and the third row should be labeled “arena frame”. Also, the spatial coherence numbers for the fourth row of firing rate maps in panel A were incorrectly duplicated from the first row. Please ...

This paper investigates the relationship between R&D stock and productivity growth, while taking into account the effect of spatial spillovers. We propose a homogeneous dynamic panel data model and three 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 t...

This paper tries to explore the asymptotic properties of maximum likelihood estimators for spatial dynamic panel data with fixed effects when both the number of time periods T and number of individuals n are large. When n is proportional to T or T is relatively large, the estimator is √ nT consistent and asymptotically normal; when n is relatively large, the estimator is consistent with the rat...

BACKGROUND AND PURPOSE A CT scanner employing a digital flat-panel detector is capable of very high spatial resolution as compared with a multi-section CT (MSCT) scanner. Our purpose was to determine how well a prototypical volume CT (VCT) scanner with a flat-panel detector system defines fine structures in temporal bone. METHODS Four partially manipulated temporal-bone specimens were imaged ...