This paper draws on literatures on vouchers and discrimination, and derives an optimal voucher scheme as a supplement to standard anti-discrimination policies, including affirmative action. Surveying current policy methods, it compares efficiency and distributional effects of vouchers to those...

Given demographic trends, public policies in the future may be aimed at stimulating the availability of nursing home care in the U.S. This paper estimates how certificate of need laws, Medicaid reimbursement rates, and state corporate income tax rates affect the availability of nursing home care...

In this paper, we propose an efficient weighted average estimator in Seemingly Unrelated Regressions. This average estimator shrinks a generalized least squares (GLS) estimator towards a restricted GLS estimator, where the restrictions represent possible parameter homogeneity specifications. The...

This paper proposes a new combined semiparametric estimator of the conditional variance that takes the product of a parametric estimator and a nonparametric estimator based on machine learning. A popular kernel-based machine learning algorithm, known as the kernel-regularized least squares...