Abstract: The spatial survival models typically impose frailties, which characterize unobserved heterogeneity, to be spatially correlated. This specification relies highly on a pre-determinate covariance structure of the errors. However, the spatial effect may not only exist in the unobserved...

Abstract: This paper considers spatial autoregressive (SAR) binary choice models in the context of panel data with fixed effects, where the latent dependent variables are spatially correlated. Without imposing any parametric structure of the error terms, this paper proposes a smoothed spatial...

Abstract: The identification of parameters in a nonseparable single-index models with correlated random effects is considered in the context of panel data with a fixed number of time periods. The identification assumption is based on the correlated random-effect structure: the distribution of...

This article explores the dynamics of market selection by investigating of the relationships linking productivity, profitability, investment and growth, based on China's manufacturing firm-level dataset over the period 1998-2007. First, we find that productivity variations, rather than relative...

In this paper, we consider an unreliable production process which produces nondefective items when operating in control, but produces defective items with a probability \alpha when the process has shifted to an out-of-control state. Following a JIT philosophy, we stop the entire line and repair...

In this paper, we consider a supply-chain model consisting of a single product, one supplier, and multiple retailers. Demand at the retailers is random, but stationary. Each retailer places her orders to the supplier according to the well-known (Q,R) policy. We assume that the supplier has...