The central prediction of the monocentric city model is that real estate prices, density of development, population density, and land rent decline with the distance from urban center. The spatial pattern follows a negative exponential under the conditions derived by Brueckner (1982) and McDonald...

Transportation network companies (TNCs) create new challenges for governments providing transit services, but also create new opportunities to raise tax revenue. To shed light on the effect of taxing TNCs, we extend a pseudo-monocentric city model to include multiple endogenously chosen...

The varying coefficient model (VCM) is an important generalization of the linear regression model and many existing estimation procedures for VCM were built on <italic>L</italic> ₂ loss, which is popular for its mathematical beauty but is not robust to non-normal errors and outliers. In this paper, we address...

The group Lasso is a penalized regression method, used in regression problems where the covariates are partitioned into groups to promote sparsity at the group level [27]. Quantile group Lasso, a natural extension of quantile Lasso [25], is a good alternative when the data has group information...

Earthquakes that occur in a mountainous region can trigger a mass of landslides (ETL), and these hazards can cause relatively heavy casualties. Compared with other evaluation models and methods, quantification theory I is a multivariate statistical approach that can simultaneously process...

Semiparametric partially linear varying coefficient models (SPLVCM) are frequently used in statistical modeling. With high-dimensional covariates both in parametric and nonparametric part for SPLVCM, sparse modeling is often considered in practice. In this paper, we propose a new estimation and...

In this paper, we propose a new full iteration estimation method for quantile regression (QR) of the single-index model (SIM). The asymptotic properties of the proposed estimator are derived. Furthermore, we propose a variable selection procedure for the QR of SIM by combining the estimation...

An important model in handling the multivariate data is the partially linear single-index regression model with a very flexible distribution--beta distribution, which is commonly used to model data restricted to some open intervals on the line. In this paper, the score test is extended to the...

High-occupancy vehicle (HOV) lanes have been promoted to encourage carpools, reduce traffic congestion, and improve air quality. At the partial equilibrium level, commuting with three workers per automobile clearly reduces highway congestion, lowers carbon emissions, and saves energy compared to...