Before revision:  We provide an algorithm for estimating this matrix under an approximate sparsity condition, and obtain convergence rates for the proposed estimator despite the high-dimensionality that allows more agents than observations.
After revision:  We provide an algorithm for estimating this matrix under an approximate sparsity condition, and obtain convergence rates for the proposed estimator despite the high dimensionality that allows more agents than observations.