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Dargel, Lukas
and Thomas-Agnan, Christine
(2023)
Efficient estimation of spatial econometric interaction models for sparse OD matrices.
TSE Working Paper, n. 23-1409, Toulouse
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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 (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, marginal effects and predictions.
| Item Type: | Monograph (Working Paper) |
|---|---|
| Language: | English |
| Date: | February 2023 |
| Place of Publication: | Toulouse |
| Uncontrolled Keywords: | Spatial Econometric, Interaction Models, Zero Flow Problem, OD Matrices, Networks |
| JEL Classification: | C21 - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions C51 - Model Construction and Estimation |
| Subjects: | B- ECONOMIE ET FINANCE |
| Divisions: | TSE-R (Toulouse) |
| Institution: | Université Toulouse Capitole |
| Site: | UT1 |
| Date Deposited: | 23 Feb 2023 14:38 |
| Last Modified: | 04 Nov 2024 09:57 |
| OAI Identifier: | oai:tse-fr.eu:127843 |
| URI: | https://publications.ut-capitole.fr/id/eprint/46811 |
