This paper examines the nonlinear connection between corporate governance (CG) and leverage. Our study applied dynamic panel threshold model (DPTM) to facilitate capture of effect CG on a firm’s leverage for Japanese listed companies. Additionally, our sought demonstrate linkage speed adjustment (SOA), particularly following reforms in Japan’s system, reach targeted level The empirical findings...

This paper develops a test for homogeneity of the threshold parameter in regression models. The has natural interpretation from time series perspectives and can also be applied to additional change points structural break limiting distribution statistic is derived, finite sample properties are studied Monte Carlo simulations. We apply new tipping point problem by Card, Mas, Rothstein (2008, Qua...

The study’s main objective was to evaluate the link between anti-money laundering (AML) regulations and financial sector development (FSD) in Africa test nonlinearities AML regulations-FSD nexus. Panel data of 51 African countries from World Bank’s indicators, IMF, Basel Institute on Governance over period 2012 2019 were used. study employs two-step system GMM dynamic panel threshold regression...

We consider panel count data which are frequently obtained in prospective studies involving recurrent events that are only detected and recorded at periodic assessment times. The data take the form of counts of the cumulative number of events detected at each inspection time, along with explanatory covariates. Examples arise in diverse areas such as epidemiological studies, medical follow-up st...

In this paper we provide a new methodology to analyze the (Gaussian) profile quasi likelihood function for panel regression models with interactive fixed effects, also called factor models. The number of factors is assumed to be known. Employing the perturbation theory of linear operators, we derive a power series expansion of the likelihood function in the regression parameters. Using this exp...

This paper studies estimation and inference in a quantile regression dynamic panel model with fixed effects. Panel data fixed effects estimators are typically biased in the presence of lagged dependent variables as regressors. To reduce the dynamic bias in the quantile regression panel data model I develop an instrumental variables approach that employs lagged regressors as instruments. I show ...

Agricultural product trade openness is a crucial factor impacting agricultural carbon emissions. This study analyzes the relationship between and emissions in China. Using panel data from 2002 to 2020 for 31 provinces, threshold model employed examine non-linear an environmental regulation perspective. The findings reveal significant single-threshold effect of regulation. When intensity low, po...

This paper studies fixed effects estimation of quantile regression (QR) models with panel data. Previous studies show that there are two important difficulties with the standard QR estimation. First, the estimator can be biased because of the well-known incidental parameters problem. Secondly, the non-smoothness of the objective function significantly complicates the asymptotic analysis of the ...