Recently, there has been a rapid rise of on-demand ride-hailing platforms, such as Uber and Didi, which allow passengers with smartphones to submit trip requests and match them to drivers based on their locations and drivers' availability. With the rapid rise, there have been questions about how

Operational disruptions can impact a firm's risk, which manifests in a host of operational issues, including a higher holding cost for inventory, a higher financing cost for capacity expansion, and a higher perception of the firm's risk among its supply chain partners. While disruptions have been

Minimization with respect to a matrix X subject to orthogonality constraints X'X = I has wide applications in polynomial optimization, combinatorial optimization, eigenvalue problems, the total energy minimization in electronic structure calculation, sparse principal component analysis, community

We provide a theory that unifies the long tail and blockbuster phenomena. Specifically, we analyze a three-stage game where, first, a large number of potential firms make entry decisions, then those who stay in the market decide on the investment in its product, and lastly customers with

I will give a very broad history of efforts to find a method for discovering causal relations, from Aristotle to contemporary work in "artificial intelligence." I will also talk about some of the open problems and difficulties that remain.

Common wisdom suggests that everything else being equal, seeing patients sooner rather than later is preferable. In particular health outcomes improve with reduced delay and so does patient satisfaction. At the same time, if the delay in access to care is reduced, patients may be more inclined

• Understanding how the context of a choice and heuristics can drive behaviors and actions as much as the attributes of the services or products being offered.
• Introducing a framework to harnesses the power of defaults, message framing, habits and context effects to guide consumers along their

In this paper we propose a model which includes both a known (potentially) nonlinear parametric component and an unknown nonparametric component. This approach is feasible given that we estimate the finite sample parameter vector and the bandwidths simultaneously. We show that our objective

The 2nd International Conference on Econometrics and Statistics (EcoSta 2018) will take place at the City University of Hong Kong, Hong Kong 19-21 June 2018.

The 1st International Conference on Econometrics and Statistics, EcoSta 2017 has taken place at the Hong Kong University of Science and

Longitudinal functional data consist of functional data collected at multiple time points for which the observational times may vary by subject. They differ from traditional longitudinal data in that the observation at each time point is a function rather than a scalar. The aim is to extend the