Next Article in Journal
A Joint Chow Test for Structural Instability
Next Article in Special Issue
The SAR Model for Very Large Datasets: A Reduced Rank Approach
Previous Article in Journal / Special Issue
Heteroskedasticity of Unknown Form in Spatial Autoregressive Models with a Moving Average Disturbance Term

Two-Step Lasso Estimation of the Spatial Weights Matrix

Spatial Economics and Econometrics Centre (SEEC), Heriot-Watt University, Edinburgh, Scotland EH14 4AS, UK
Author to whom correspondence should be addressed.
Academic Editor: Kerry Patterson
Econometrics 2015, 3(1), 128-155;
Received: 31 October 2014 / Accepted: 11 February 2015 / Published: 9 March 2015
(This article belongs to the Special Issue Spatial Econometrics)
The vast majority of spatial econometric research relies on the assumption that the spatial network structure is known a priori. This study considers a two-step estimation strategy for estimating the n(n-1) interaction effects in a spatial autoregressive panel model where the spatial dimension is potentially large. The identifying assumption is approximate sparsity of the spatial weights matrix. The proposed estimation methodology exploits the Lasso estimator and mimics two-stage least squares (2SLS) to account for endogeneity of the spatial lag. The developed two-step estimator is of more general interest. It may be used in applications where the number of endogenous regressors and the number of instrumental variables is larger than the number of observations. We derive convergence rates for the two-step Lasso estimator. Our Monte Carlo simulation results show that the two-step estimator is consistent and successfully recovers the spatial network structure for reasonable sample size, T. View Full-Text
Keywords: lasso; endogeneity; unkown W; spatial weights matrix lasso; endogeneity; unkown W; spatial weights matrix
Show Figures

Figure 1

MDPI and ACS Style

Ahrens, A.; Bhattacharjee, A. Two-Step Lasso Estimation of the Spatial Weights Matrix. Econometrics 2015, 3, 128-155.

AMA Style

Ahrens A, Bhattacharjee A. Two-Step Lasso Estimation of the Spatial Weights Matrix. Econometrics. 2015; 3(1):128-155.

Chicago/Turabian Style

Ahrens, Achim, and Arnab Bhattacharjee. 2015. "Two-Step Lasso Estimation of the Spatial Weights Matrix" Econometrics 3, no. 1: 128-155.

Find Other Styles

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Back to TopTop