A generalized framework for estimating spatial econometric interaction models

Lukas Dargel and Christine Thomas-Agnan

No 22-1312, TSE Working Papers from Toulouse School of Economics (TSE)

Abstract: In the framework of spatial econometric interaction models for origin-destination flows, we develop an estimation method for the case when the list of origins may be distinct from the list of destinations, and when the origin-destination matrix may be sparse. The proposed model resembles a weighted version of the one of LeSage and Pace (2008) and we are able to retain most of the efficiency gains associated with the matrix form estimation, which we illustrate for the maximum likelihood estimator. We also derive computationally feasible tests for the coherence of the estimation results and present an efficient approximation of the conditional expectation of the flows.

Keywords: spatial econometric interaction models; zero flow problem (search for similar items in EconPapers)
JEL-codes: C01 C21 (search for similar items in EconPapers)
Date: 2022-03-01
New Economics Papers: this item is included in nep-ban, nep-ecm, nep-geo, nep-ore and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:tse:wpaper:126685

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