The purpose of this paper is to apply spatial econometrics, a new statistical tool that has recently attracted much attention, to Japanese land-price data and investigate how land-price movements are determined in Japan. A strong emphasis is put on measuring the degree of spatial correlation of...

The purpose of this paper is to apply spatial econometrics, a new statistical tool that has recently attracted much attention, to Japanese land-price data and investigate how land-price movements are determined in Japan. A strong emphasis is put on measuring the degree of spatial correlation of...

We estimate inequality including Gini coefficients using a lognormal parametric model for an investigation of persistent inequality. The asymptotic theory of selected order statistics enables us to construct a linear model based on grouped data. We extend the linear model to a dynamic model in...

The empirical work on local public finance has found that the marginal effect of lump-sum grants on expenditure is larger than that of income, thereby providing evidence of the “flypaper effect”. However, most existing studies only employ single equation models to test the flypaper effect....

In this paper, we estimate the CO2 emission function based on the production function, taking into account the interregional spillover effect in Japan. Using the estimated result, we propose suitable means of simulation using spatial econometrics and simulate which prefecture can reduce the CO2...

This paper considers the distance functional weight matrix in spatial autoregressive and spatial error models from a Bayesian point of view. We considered the Markov chain Monte Carlo methods to estimate the parameters of the models. Our approach is illustrated with simulated data set.