Abstract Understanding the temporal and spatial dynamics determinants of public transport ridership play an important role in urban planning. Previous studies have focused on exploring at station level using global models, or a local model, geographically weighted regression (GWR), which cannot reveal autocorrelation level. This study explores factors affecting bus considering Durbin model (SDM...

The development of an economy is oriented towards not only growth but also equality. Furthermore, economic interaction across regions has to be captured in a analysis avoid the possibility biased results. This study analyzes Central Java, Indonesia's development, by considering spatial interactions regencies. Spatial Durbin Model (SDM) used for analysis. results show significant regencies/citie...

We develop a method for measuring the foresight agents have. We first dichotomize an agent’s information at current date t into knowledge up to date t 1 f and expectations after t 1 f. We then form a residual-based test statistic that allows us to compare prediction errors for econometric models based on different values of f. We illustrate the method, examining investment around tax reforms to...

Abstract This paper studies the joint dynamics of foreign direct investments (FDI) and output growth in European regions by using spatially augmented systems equations modeling framework that incorporates third‐region spillover effects. The is used to study dynamic impacts regional human capital endowments, which demonstrates importance explicitly accounting for an endogenous relationship. rela...

Since the seminal work of Becker (1968), a large empirical literature has developed around the estimation and testing of economic models of crime. Recently, spatial interactions of crime incidents have become one of the research areas in economics in connection with the progress of spatial econometrics. But these models of crime based on aggregated data relied heavily on cross-sectional econome...

Poverty mapping in developing countries has become an increasingly important tool in the search for ways to improve living standards in an economically and environmentally sustainable manner. Although the classical econometric methods provide information on the geographic distribution of poverty, they do not take into account the spatial dependence of the data and generally they do not consider...

In this paper, we adopt the `dual gravity' model proposed in Behrens et al. (2012) and apply it to the trade ows data for European countries. We use new methodology and estimation techniques from the spatial econometric literature to study the e ect of spatial distribution of countries on trade ows within Europe. Regression result on data from 2006 to 2010 suggests that distance, wage, membersh...