R egional unbalanced growth and the factors affecting it are one of the most important economic issues in developing countries. In this research, after evaluating the regional inequality at the provincial level of Iran, in order to examine the effect of economic factors on it, it was considered as a spatial econometric model using panel data during the period of 2001 to 2015. The evaluatio...

The main objective of this work is to apply the hedonic pricing method using the methodology of spatial econometrics in order to assess the economic value of irrigation water, as one of the individual attributes of the value of agricultural land parcels. Most of the agricultural land’s value attributes, like neighbor characteristics as well as the availability of irrigation water, exhibit a spa...

This paper provides an example of several modeling and econometric advances used in the panel estimation of energy demand elasticities. The paper models the demand of total, industrial, and transport energy consumption and residential and commercial electricity consumption by analyzing US state-based panel data. The paper employs recently developed dynamic panel methods that address heterogenei...

This paper examines the direct and spillover effects of exchange rate on foreign investment (FDI) inflows in a panel ASEAN countries from 2001 to 2018. We utilize spatial econometric approach accommodate nature dependence among countries. Our results suggest that effect depends source-region FDI, implying existence heterogeneity ASEAN’s FDI. also show FDI are not only influenced by country itse...

Estimation of econometric dynamic random effects panel data models is hampered by the initial conditions problem. This problem is often “solved” by making auxiliary assumptions which are not always consistent with the other maintained econometric assumptions. This paper develops a strategy for avoiding this potential inconsistency. The main idea is to ask which set of parameter values would be ...

This paper advances an empirical model assessing how changing economic and ecological conditions at different spatial scales affect land conversion decisions. We apply a multilevel econometric model to explore the implications for parameter estimates and their standard errors of ignoring hierarchical groupings in the data. The paper draws on a panel of agricultural-household data collected from...

a r t i c l e i n f o Higher-order spatial econometric models that include more than one weights matrix have seen increasing use in the spatial econometrics literature. There are two distinct issues related to the specification of these extended models. The first issue is what form the higher-order spatial econometric model takes, i.e. higher-order polynomials in the spatial weights matrices vs...

Heterogeneity is one of the distinguishing features in spatial econometric models. It is a frequent problem in applied work and can be very damaging for statistical inference. In this paper, we focus on the problems implied by the existence of instabilities in the mechanism of spatial dependence in a spatial lag model, assuming that the other terms of the specification remain stable. We begin t...

This paper provides an overview of recent econometric advances on testing of functional form with semiparametric methods and their application to the estimation of the environmental Kuznets curve (EKC). The EKC in environmental economics is estimated using panel data models and provides a fertile ground for the adoption of recent panel data developments. The paper provides a discussion of recen...