In many instances in empirical spatial analysis, the method of choice is a regression
analysis, whereby a variable of interest (the dependent variable) is related in a linear way to …

To enhance the measurement of economic and financial spillovers, we bring together the
spatial and global vector autoregressive (GVAR) classes of econometric models by …

This paper aims to propose a profile quasi-maximum likelihood estimation method for
semiparametric varying-coefficient spatial autoregressive (SVCSAR) panel models with …

This paper examines whether there are productivity spillover effects among clustered firms
and, if so, whether a firm's human capital affects its absorption of spillovers. To analyze …

This paper considers a varying-coefficient spatial dynamic panel data model with fixed
effects. We show that a two-point approximation method poses a potential weak …

We apply local linear regression and sieve estimation technique to estimate functional
coefficients and an unknown spatial weighting function, respectively, via a nonparametric …

A two-mode network contains two types of nodes, and edges exist only between any two
nodes that are associated with different entities. Owing to the network connections (ie …

With the continuous development of agricultural mechanization and information, agricultural
machinery failure analysis has become an important issue. Providing effective agricultural …

This paper develops an innovative way of estimating a functional-coefficient spatial
autoregressive panel data model with unobserved individual effects which can …

There is a great deal of literature regarding the performance of listed companies during
periods of financial distress and/or financial crisis. However, very few of them considered the …