MCMCINLA estimation of varying coefficient spatial lag model-A study of China's economic development in the context of population aging.

ABSTRACT: The dominant spatial econometric model in spatial econometrics is the parametric form, while in the realistic context, the variables often do not satisfy the assumption of linearity and have nonlinear relationships with each other. In this paper, we introduce nonparametric terms into spatial econometric models and propose the MCMCINLA estimation method for varying coefficient spatial lag models. The empirical analysis is conducted with the socioeconomic data of mainland China from 2015 to 2020 to discuss the influencing factors and spatial and temporal distribution characteristics of China's economic development under the classical spatial lag model and the varying coefficient spatial lag model with population aging as a special covariate, respectively. The results show that with the gradu

SUBMITTER: Teng J 

PROVIDER: S-EPMC10184945 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature