Nonlinear models have been used extensively in the areas of economics and finance. Recent literature on the topic has shown that a large number of series exhibit nonlinear dynamics as opposed to the alternative--linear dynamics. Incorporating these concepts involves deriving and estimating nonlinear time series models, and these have typically taken the form of Threshold Autoregression (TAR) models, Exponential Smooth Transition (ESTAR) models, and Markov Switching (MS) models, among several others. This edited volume provides a timely overview of nonlinear estimation techniques, offering new...

Suffocating smog regularly envelops Chinese metropolises from Beijing to Shanghai, clouding the future prospect of China's growth sustainability. Air pollutants do not discriminate between the rich and the poor, the politician and the "average Joe." They put everyone's health and economic prosperity at risk, creating future costs that are difficult to calculate. Yet many people, including some in China, are concerned that addressing environmental challenges will jeopardize economic growth.

In The Economics of Air Pollution in China, leading Chinese economist Ma Jun makes the case...

This book, as a comprehensive, in-depth analysis of one of the fastest-growing industries in China, covers all the most important areas and issues in the country s online lending industry. It includes, but is not limited to, the history of online lending, the scale of the online lending market, the basic business models in and a risk analysis of online lending, the characteristics of typical online-lending borrowers and investors/lenders, the root causes of bankruptcy among failed online lending platforms, a comparative analysis of online lending platforms inside and outside China, the...