Purpose: The purpose of this study is to discuss the phenomenon of dual-role participants in public-private partnership (PPP) projects. Contractors who are also investors hold a dual-role that can improve project financing and technical ability. However, speculation without effort from the...

In Build-Operate-Transfer (BOT) infrastructure projects, host governments often provide subsidies, guarantees or alternative forms of support as incentives to attract private sector participation. A guaranteed level of minimum revenue, for example, can be specially designed to alleviate the...

Over the past two decades, many developing countries have grown to become more familiar with the notions and the use of public-private partnership/private financing initiative (PPP/PFI) schemes in building large-scale infrastructure assets. However, owing to higher levels of complexity and...

The varying-coefficient single-index models (VCSIMs) form a class of very flexible and general dimension reduction models, which contain many important regression models such as partially linear models, pure single-index models, partially linear single-index models, varying-coefficient...

We study generalized single-index models and propose an efficient equation for estimating the index parameter and unknown link function, deriving a quasi-likelihood-based maximum empirical likelihood estimator (QLMELE) of the index parameter. We then establish an efficient confidence region for...

We propose a class of general partially linear additive transformation models (GPLATM) with right-censored survival data in this work. The class of models are flexible enough to cover many commonly used parametric and nonparametric survival analysis models as its special cases. Based on the B...

Empirical-likelihood-based inference for the nonparametric parts in semiparametric varying-coefficient partially linear (SVCPL) models is investigated. An empirical log-likelihood approach to construct the confidence regions/intervals of the nonparametric parts is developed. An estimated...