The Impact of Weight Matrices on Parameter Estimation and Inference: a Case Study of Binary Response Using Land Use Data

نویسندگان

  • Yiyi Wang
  • Kara M. Kockelman
  • William J. Murray
چکیده

This paper develops two new models and evaluates the impact of using different weight matrices on parameter estimates and inference in three distinct spatial specifications for discrete response. These specifications rely on a conventional, sparse, inverse-distance weight matrix for a spatial auto-regressive probit (SARP), a spatial autoregressive approach where the weight matrix

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تاریخ انتشار 2012