Closed-Form Maximum Likelihood Estimates for Spatial Problems
نویسندگان
چکیده
This manuscript introduces the matrix exponential as a way of specifying spatial transformations of the data. The matrix exponential spatial specification (MESS) simplifies the log-likelihood, leading to a closed form maximum likelihood solution. The computational advantages of this model make it ideal for applications involving large data sets such as census and real estate data. The manuscript demonstrates the utility of the techniques by estimating a model for housing prices across 57,647 census tracts. Amazingly, the MESS autoregression can take under a second to compute, despite the large sample size.
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تاریخ انتشار 2000