"Replication Data for" Parameterizing Spatial Weight Matrices in Spatial Econometric Models
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/V9L9XC
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Abstract: Spatial econometric models allow for interactions among cross-sectional units through spatial weight matrices. This paper parameterizes each spatial weight matrix in the widely used spatial Durbin model with a different instead of one common distance decay parameter, using negative exponential and inverse distance matrices. We propose a joint estimation approach of the decay and response parameters and we investigate its performance in a Monte Carlo simulation experiment. We also present the results of an empirical application on military expenditures.
Indirect effects in particular appear to be sensitive to different parameterizations.
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Harvard Dataverse
创建时间:
2024-02-26



