What are the key drivers of energy transition? Is there any nonlinear effects in the
transitions? In this study, we examine the three sets of factors–environmental, social, and …

Threshold regression models are useful for identifying subgroups with heterogeneous
parameters. The conventional threshold regression models split the sample based on a …

We study the change point detection problem for high-dimensional linear regression
models. The existing literature mainly focused on the change point estimation with stringent …

Purpose South African public debt has recently increased significantly and has reached
worrying levels. This study aims to examine the debt threshold effects on economic growth in …

In this article, we investigate parameter estimation, kink points testing and statistical
inference for a longitudinal multikink expectile regression model. The estimators for the kink …

In this article, we develop a generalized linear–quadratic model with a change point due to a
covariate threshold, with one line segment and another quadratic segment intersecting at a …

This paper develops robust bootstrap inference for a dynamic panel threshold model to
improve the finite sample coverage and to be applicable irrespective of the regression's …

A bent line expectile regression model can describe the effect of a covariate on the response
variable with two different straight lines, which intersect at an unknown change-point. Due to …

This paper considers the estimation and inferential issues of threshold spatial
autoregressive model, which is a hybrid of threshold model and spatial autoregressive …

In regression analysis a single parametric form is assumed, over the whole domain of
interest. However, this assumption might not be valid in some applications, such as …