Causal inference is of central interests in many empirical applications yet often challenging because of the presence of endogenous regressors. The classical approach to the problem requires using instrumental variables that must satisfy the stringent condition of exclusion restriction. At the...

Using a unique panel dataset and a new model, this article investigates the dynamic effects of counterfeit sales on authentic-product price dynamics. We propose a Bayesian random-changepoint simultaneous equation model that simultaneously takes into account three important features in empirical...

Using a unique panel dataset and a new model, this article investigates the dynamic effects of counterfeit sales on authentic-product price dynamics. We propose a Bayesian random-changepoint simultaneous equation model that simultaneously takes into account three important features in empirical...

In marketing applications, it is common that some key covariates in a regression model are subject to missingness. Notably, in the estimation of discrete choice models using scanner data, the prices and promotion values for non-purchased products are often missing. In consumer relationship...

In missing data analysis, there is often a need to assess the sensitivity of key inferences to departures from untestable assumptions regarding the missing data process. Such sensitivity analysis often requires specifying a missing data model that commonly assumes parametric functional forms for...

Homogeneous Charge Compression Ignition (HCCI) combustion, also known as controlled auto-ignition (CAI), has been shown to reduce substantially NOX emissions and fuel consumption in gasoline engines. However, it is still confronted with the problem of its limited operation range. One of the...

Sound environment is an important part of the overall environmental sustainability. For example, the windows of buildings in noisy environments often need to be sealed, which would discourage low energy strategies based on natural ventilation. The aim of this study is to investigate the...

The low-grade heat sources coupled by ORC (organic Rankine cycle) are categorized into two groups. For the first one, the inlet temperature and the mass flow rate are known, and the working mass of the heat source is directly discharged after being used. For the second, the heat release is...

The LCA (life-cycle assessment) was applied to evaluate EI (the environmental impact) of ORCPW (organic Rankine cycle power-plant for waste-heat-recovery) in this paper. The model of LCA on the ORCPW was established. The life-cycle of ORCPW was divided into construction, operation and...