TY  - RPRT
CY  - Toulouse
ID  - publications46811
UR  - http://tse-fr.eu/pub/127843
A1  - Dargel, Lukas
A1  - Thomas-Agnan, Christine
Y1  - 2023/02//
N2  - 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.
PB  - TSE Working Paper
T3  - TSE Working Paper
KW  - Spatial Econometric
KW  - Interaction Models
KW  - Zero Flow Problem
KW  - OD Matrices
KW  - Networks
M1  - working_paper
TI  - Efficient estimation of spatial econometric interaction models for sparse OD matrices
AV  - public
EP  - 23
ER  -