Centre for microdata methods and practice
Professor of Economics, Institute for Social and Economic Research
We consider cross-sectional data that exhibit no spatial correlation, but are feared to be spatially dependent…. Continue reading.
We provide a general class of tests for correlation in time series, spatial, spatio-temporal and cross-sectional… Continue reading.
Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, containing non stochastic explanatory… Continue reading.
We consider the estimation of parametric models for stationary spatial or spatio-temporal data on a d-dimensional… Continue reading.
In a number of semiparametric models, smoothing seems necessary in order to obtain estimates of the… Continue reading.
In a number of semiparametric models, smoothing seems necessary in order to obtain estimates of the… Continue reading.
In a number of semiparametric models, smoothing seems necessary in order to obtain estimates of the… Continue reading.
We consider the estimation of parametric models for stationary spatial or spatio-temporal data on a d-dimensional… Continue reading.