We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of linear quantile regression (e.g., Koenker, 2005; Section 2.6). We show that panel data allows the econometrician to (i) introduce dependence between the regressors and the random coefficients and (ii...

In this work we consider a convolution model for nonlinear conservation laws. Due to the delicate balance between the nonlinear convection and the nonlocal forcing, this model allows for narrower shock layers than those in the viscous Burgers’ equation and yet exhibits the conditional finite time breakdown as in the damped Burgers’ equation. We show the critical threshold phenomenon by presenti...

The increase in the level of development digital inclusive finance provides unlimited possibilities for economic each country. By using panel data 31 provinces China from 2011-2020, a fixed effects model, mediating model and threshold regression were constructed to conduct an empirical study found that: can promote growth farmers' income by expanding breadth coverage depth use, with more signif...

Contributions to public goods simulated in economists' laboratory experiments have two peculiarities from the perspective of statistical modelling. There is a variety of contributor behaviours (Ledyard, 1995), suggestive perhaps of separate classes of individuals, and contributions are doubly censored. We present an econometric model of contributions in sequential play, which takes into account...

We develop a new method for assessing the adequacy of a smooth regression function based on nonparametric regression and the bootstrap. Our methodology allows users to detect systematic misfit and to test hypotheses of the form ‘‘the proposed smooth regression model is not significantly different from the smooth regression model that generated these data.’’ We also provide confidence bands on t...

This paper contributes to the renewable energy literature from two perspectives. First, we investigate factors driving deployment in MENA countries using economic, financial, and political variables including financial development, government effectiveness stability. investigation is empirically carried out by Panel Smooth Transition Model (PSTR) (Gonzales et al., 2017) that explicitly explores...