A semiparametric spatial dynamic model

A Dynamic Semiparametric Proportional Hazard Model

This paper proposes a dynamic proportional hazard (PH) model with non-specified baseline hazard for the modelling of autoregressive duration processes. A categorization of the durations allows us to reformulate the PH model as an ordered response model based on extreme value distributed errors. In order to capture persistent serial dependence in the duration process, we extend the model by an o...

A Dynamic Spatial Model

Any interesting model of economic geography must involve a tension between “centripetal” forces that tend to produce agglomerations and “centrifugal” forces that tend to pull them apart. This paper explores one such model, and shows that the model links together a number of themes in the geography literature. These include: the role of market access, as measured by a measure of “market potentia...

Efficient estimation of a semiparametric dynamic copula model

Outline Introduction Semi-parametric dynamic copula Motivation Local likelihood estimation Variance of the estimator Bias of the estimator Bandwidth selection Estimation of joint likelihood Modeling of marginal distributions Simulations and applications Simulations Empirical example Conclusions Problems and Solutions Problems Modeling dependence is critical for financial time series Model volat...

Nonparametric and Semiparametric Analysis of a Dynamic Game Model

E¢ cient Estimation of the Semiparametric Spatial Autoregressive Model

E¢ cient semiparametric and parametric estimates are developed for a spatial autoregressive model, containing nonstochastic explanatory variables and innovations suspected to be non-normal. The main stress is on the case of distribution of unknown, nonparametric, form, where series nonparametric estimates of the score function are employed in adaptive estimates of parameters of interest. These ...