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 …

This paper reviews a number of conceptual issues pertaining to the implementation of an
explicit “spatial” perspective in applied econometrics. It provides an overview of the …

In this paper, I give a personal view on the development of the field of spatial econometrics
during the past 30 years. I argue that it has moved from the margins to the mainstream of …

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 …

This study develops a methodology of inference for a widely used Cliff–Ord type spatial
model containing spatial lags in the dependent variable, exogenous variables, and the …

This paper investigates asymptotic properties of the maximum likelihood estimator and the
quasi‐maximum likelihood estimator for the spatial autoregressive model. The rates of …

In this paper we consider a panel data model with error components that are both spatially
and time-wise correlated. The model blends specifications typically considered in the spatial …

This paper reconsiders the long-run economic relationship between health care expenditure
and income using a panel of 20 OECD countries observed over the period 1971–2004. In …

Increasing industrial water use efficiency is key to achieving sustainable industrial
development. This study employed bootstrap-data envelopment analysis to calculate the …

This paper investigates the asymptotic properties of quasi-maximum likelihood estimators for
spatial dynamic panel data with fixed effects, when both the number of individuals n and the …