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 …

We summarize advances in empirical likelihood (EL) for time series data. The EL formulation
for independent data is briefly presented, which can apply for inference in special time …

This paper investigates differences in economic growth determinants for 187 regions across
12 European countries. The study focuses on a period of increasing inequalities including …

Spatial models are a recent but growing addition to econometric research. They are
characterized by an attention to the location of observations (ie, ordered spatial locations) …

The central government of China intensively implemented a series of housing macro-
regulation policies to cool down overheated housing market in 2011–2013. This research …

This paper considers the generalized empirical likelihood (GEL) estimation and tests of high
order spatial autoregressive (SAR) models by exploring an inherent martingale structure …

Unconditional quantile regression (UQR) attracts attention in various fields to investigate the
impacts of explanatory variables on quantiles of the marginal distribution of an explained …

一类空间面板数据模型的经验似然推断 Page 1 第40 卷第1 期 2022 年1 月 广西师范大学学报(自然
科学版) Journal of Guangxi Normal University (Natural Science Edition) Vol. 40 No. 1 Jan …

In this paper, we revisit the analysis of cross‐country convergence by combining spatial
econometrics and panel quantile regressions to estimate conditional β‐convergence …

Spatial scan statistics are an important tool for detecting and evaluating the statistical
significance of spatial clusters and have widespread applications in various fields. The study …