Maximum likelihood estimation of a spatial autoregressive model for origin-destination flow variables

Cites Work

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Maximum likelihood estimation of a spatial autoregressive Tobit model
A SPATIAL DYNAMIC PANEL DATA MODEL WITH BOTH TIME AND INDIVIDUAL FIXED EFFECTS
Estimation of Relationships for Limited Dependent Variables
A generalized normal distribution
HAC estimation in a spatial framework
Central limit theorems and uniform laws of large numbers for arrays of random fields
On spatial processes and asymptotic inference under near-epoch dependence
Spatial heteroskedasticity and autocorrelation consistent estimation of covariance matrix
Mean value theorem for convex functions
Spatial weights matrix selection and model averaging for spatial autoregressive models
Sieve maximum likelihood estimation of the spatial autoregressive Tobit model
Consistency without compactness of the parameter space in spatial econometrics
Estimating a spatial autoregressive model with an endogenous spatial weight matrix
BIAS REDUCTION FOR DYNAMIC NONLINEAR PANEL MODELS WITH FIXED EFFECTS
Note on the Uniqueness of the Maximum Likelihood Estimator for the Tobit Model
SEMIPARAMETRIC ESTIMATION OF CENSORED SPATIAL AUTOREGRESSIVE MODELS
Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods
Consistent Estimates Based on Partially Consistent Observations
Individual and time effects in nonlinear panel models with large \(N\), \(T\)
Bootstrap inference under cross‐sectional dependence
Estimation of spatial autoregressive models for origin-destination flows: a partial likelihood approach
Estimating flow data models of international trade: dual gravity and spatial interactions

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